Alternatives to PipelineDB
Compare PipelineDB alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to PipelineDB in 2026. Compare features, ratings, user reviews, pricing, and more from PipelineDB competitors and alternatives in order to make an informed decision for your business.
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TimescaleDB
Tiger Data
TimescaleDB is the leading time-series database built on PostgreSQL, designed to handle massive volumes of real-time data efficiently. It enables organizations to store, analyze, and query time-series data — such as IoT sensor data, financial transactions, or event logs — using standard SQL. With hypertables, TimescaleDB automatically partitions data by time and ID for fast ingestion and predictable query performance. Its compression engine reduces storage costs by up to 95%, while continuous aggregates make real-time dashboards instantly responsive. Fully compatible with PostgreSQL, it integrates seamlessly with existing tools and applications. TimescaleDB combines the simplicity of Postgres with the scalability and speed of a specialized analytical system. -
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Tiger Data
Tiger Data
Tiger Data is the creator of TimescaleDB, the world’s leading PostgreSQL-based time-series and analytics database. It provides a modern data platform purpose-built for developers, devices, and AI agents. Designed to extend PostgreSQL beyond traditional limits, Tiger Data offers built-in primitives for time-series data, search, materialization, and scale. With features like auto-partitioning, hybrid storage, and compression, it helps teams query billions of rows in milliseconds while cutting infrastructure costs. Tiger Cloud delivers these capabilities as a fully managed, elastic environment with enterprise-grade security and compliance. Trusted by innovators like Cloudflare, Toyota, Polymarket, and Hugging Face, Tiger Data powers real-time analytics, observability, and intelligent automation across industries.Starting Price: $30 per month -
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Robyn
Meta
Robyn is an open source, experimental Marketing Mix Modeling (MMM) package developed by Meta’s Marketing Science team. It’s designed to help advertisers and analysts build rigorous, data-driven models that quantify how different marketing channels contribute to business outcomes (like sales, conversions, or other KPIs) in a privacy-safe, aggregated way. Rather than relying on user-level tracking, Robyn analyzes historical time-series data, combining marketing spend or reach data (ads, promotions, organic efforts, etc.) with outcome metrics, to estimate incremental impact, saturation effects, and carry-over (adstock) dynamics. Under the hood, Robyn blends classical statistical methods with modern machine learning and optimization; it uses ridge regression (to regularize against multicollinearity in many-channel models), time-series decomposition to isolate trend and seasonality, and a multi-objective evolutionary algorithm.Starting Price: Free -
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Blueflood
Blueflood
Blueflood is a high throughput, low latency, multi-tenant distributed metric processing system behind Rackspace Metrics, which is currently used in production by the Rackspace Monitoring team and Rackspace public cloud team to store metrics generated by their systems. In addition to Rackspace metrics, other large scale deployments of Blueflood can be found at community Wiki. Data from Blueflood can be used to construct dashboards, generate reports, graphs or for any other use involving time-series data. It focuses on near-realtime data, with data that is queryable mere milliseconds after ingestion. You send metrics to the ingestion service. You query your metrics from the Query service. And in the background, rollups are batch-processed offline so that queries for large time-periods are returned quickly. -
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Anomaly detection in time series data is essential for the day-to-day operation of many companies. With Timeseries Insights API Preview, you can gather insights in real-time from your time-series datasets. Get everything you need to understand your API query results, such as anomaly events, forecasted range of values, and slices of events that were examined. Stream data in real-time, making it possible to detect anomalies while they are happening. Rely on Google Cloud's end-to-end infrastructure and defense-in-depth approach to security that's been innovated for over 15 years through consumer apps like Gmail and Search. At its core, Timeseries Insights API is fully integrated with other Google Cloud Storage services, providing you with a consistent method of access across storage products. Detect trends and anomalies with multiple event dimensions. Handle datasets consisting of tens of billions of events. Run thousands of queries per second.
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SurrealDB
SurrealDB
SurrealDB offers a dynamic and adaptable platform for business. With an integrated suite of cutting-edge database solutions, tools, and services, SurrealDB empowers your workforce to discover innovative answers using products meticulously crafted to meet their requirements. The query language in SurrealDB looks and works similarly to traditional-SQL, but allows for querying over time-series and connected graph data. SurrealQL is an advanced query language, with programming language functionality, that allows developers or data analysts to work with SurrealDB in the ways they choose. Connect directly to SurrealDB from any end-user client device. Run SurrealQL queries directly within web-browsers, ensuring that users can only view or modify the data that they are allowed to access. Highly-performant WebSocket connections allow for efficient bi-directional queries, responses and notifications. -
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OpenTSDB
OpenTSDB
OpenTSDB consists of a Time Series Daemon (TSD) as well as set of command line utilities. Interaction with OpenTSDB is primarily achieved by running one or more of the independent TSDs. There is no master, no shared state so you can run as many TSDs as required to handle any load you throw at it. Each TSD uses the open source database HBase or hosted Google Bigtable service to store and retrieve time-series data. The data schema is highly optimized for fast aggregations of similar time series to minimize storage space. Users of the TSD never need to access the underlying store directly. You can communicate with the TSD via a simple telnet-style protocol, an HTTP API or a simple built-in GUI. The first step in using OpenTSDB is to send time series data to the TSDs. A number of tools exist to pull data from various sources into OpenTSDB. -
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Azure AI Anomaly Detector
Microsoft
Foresee problems before they occur with an Azure AI anomaly detection service. Easily embed time-series anomaly detection capabilities into your apps to help users identify problems quickly. AI Anomaly Detector ingests time-series data of all types and selects the best anomaly detection algorithm for your data to ensure high accuracy. Detect spikes, dips, deviations from cyclic patterns, and trend changes through both univariate and multivariate APIs. Customize the service to detect any level of anomaly. Deploy the anomaly detection service where you need it, in the cloud or at the intelligent edge. A powerful inference engine assesses your time-series dataset and automatically selects the right anomaly detection algorithm to maximize accuracy for your scenario. Automatic detection eliminates the need for labeled training data to help you save time and stay focused on fixing problems as soon as they surface. -
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Prometheus
Prometheus
Power your metrics and alerting with a leading open-source monitoring solution. Prometheus fundamentally stores all data as time series: streams of timestamped values belonging to the same metric and the same set of labeled dimensions. Besides stored time series, Prometheus may generate temporary derived time series as the result of queries. Prometheus provides a functional query language called PromQL (Prometheus Query Language) that lets the user select and aggregate time series data in real time. The result of an expression can either be shown as a graph, viewed as tabular data in Prometheus's expression browser, or consumed by external systems via the HTTP API. Prometheus is configured via command-line flags and a configuration file. While the command-line flags configure immutable system parameters (such as storage locations, amount of data to keep on disk and in memory, etc.). Download: https://sourceforge.net/projects/prometheus.mirror/Starting Price: Free -
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Machbase
Machbase
Machbase, a time-series database that stores and analyzes a lot of sensor data from various facilities in real time, is the only DBMS solution that can process and analyze big data at high speed. Experience the amazing speed of Machbase! It is the most innovative product that enables real-time processing, storage, and analysis of sensor data. High speed sensor data storage and inquiry for sensor data by embedding DBMS in an Edge devices. Best data storage and extraction performance by DBMS running in a single server. Configuring Multi-node cluster with the advantages of availability and scalability. Total management solution of Edge computing for device, connectivity and data. -
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Digna
digna GmbH
digna is a data quality and observability platform designed to monitor, analyze, and validate data directly within enterprise data environments. It combines anomaly detection, time-series analytics, and validation into a unified system that helps teams detect issues early and understand how data behaves over time. Core Capabilities * Data Anomaly Detection Identifies changes in data volume, distribution, and behavior using statistical methods and AI-driven models without relying on manually defined rules. * Time-Series Analytics Built-in analytical methods (regression, pattern detection, seasonality analysis) allow users to interpret trends and deviations directly within the platform. * Data Timeliness Monitoring Tracks expected data arrival times and identifies delays across pipelines and data flows. * Data Validation Supports rule-based validation with reusable templates and centralized definitions of allowed values. * Schema Change Tracking Detects structural changes in dat -
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Nixtla
Nixtla
Nixtla is a platform for time-series forecasting and anomaly detection built around its flagship model TimeGPT, described as the first generative AI foundation model for time-series data. It was trained on over 100 billion data points spanning domains such as retail, energy, finance, IoT, healthcare, weather, web traffic, and more, allowing it to make accurate zero-shot predictions across a wide variety of use cases. With just a few lines of code (e.g., via their Python SDK), users can supply historical data and immediately generate forecasts or detect anomalies, even for irregular or sparse time series, and without needing to build or train models from scratch. TimeGPT supports advanced features like handling exogenous variables (e.g., events, prices), forecasting multiple time-series at once, custom loss functions, cross-validation, prediction intervals, and model fine-tuning on bespoke datasets.Starting Price: Free -
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Dewesoft Historian
DEWESoft
Historian is a database software service for long-term and permanent monitoring. It provides storage in an InfluxDB time-series database for long-term and permanent monitoring applications. Monitor your vibration, temperature, inclination, strain, pressure, and other data with a self-hosted or fully cloud-managed service. Standard OPC UA protocol is supported for data access and integration into our DewesoftX data acquisition software or SCADAs, ERPs, or any other OPC UA clients. Data is stored in a state-of-the-art open-source InfluxDB database. InfluxDB is an open-source time-series database developed by InfluxData. It is written in Go and optimized for fast, high-availability storage and retrieval of time series data in fields such as operations monitoring, application metrics, Internet of Things sensor data, and real-time analytics. Historian service can either be installed locally on the measurement unit, or your local intranet, or we can provide a fully cloud-managed service. -
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Google Cloud Inference API
Google
Time-series analysis is essential for the day-to-day operation of many companies. Most popular use cases include analyzing foot traffic and conversion for retailers, detecting data anomalies, identifying correlations in real-time over sensor data, or generating high-quality recommendations. With Cloud Inference API Alpha, you can gather insights in real-time from your typed time-series datasets. Get everything you need to understand your API queries results, such as groups of events that were examined, the number of groups of events, and the background probability of each returned event. Stream data in real-time, making it possible to compute correlations for real-time events. Rely on Google Cloud’s end-to-end infrastructure and defense-in-depth approach to security that’s been innovated on for over 15 years through consumer apps. At its core, Cloud Inference API is fully integrated with other Google Cloud Storage services. -
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BigObject
BigObject
At the heart of our innovation is in-data computing, a technology designed to process large amounts of data efficiently. Our flagship product, BigObject, embodies this core technology; it’s a time series database developed with the goal of high-speed storage and handling of massive data. With our core technology of in-data computing, we launched BigObject, which can quickly and continuously handle non-stop and all aspects of data streams. BigObject is a time series database developed with the goal of high-speed storage and analysis of massive data. It boasts excellent performance and powerful complex query capabilities. Extending the relational data structure to a time-series model structure, it utilizes in-data computing to optimize the database’s performance. Our core technology is an abstract model in which all data is kept in an infinite and persistent memory space for both storage and computing. -
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DataPortia
Atorcom
DataPortia is an advanced on-premises industrial data acquisition and reporting software with built-in AI analytics. It connects to automation systems via OPC UA protocol (Siemens, ABB, Valmet, Beckhoff, Schneider, Honeywell, Rockwell), collects 2000+ measurement points per second, and stores time-series data in PostgreSQL/TimescaleDB. Key features: - Real-time dashboards with gauges, charts, bar charts, and tables - Interactive trend views with ECharts visualization and drag-to-zoom - Comprehensive reporting with CSV and PDF export - Automated report scheduling (daily, weekly, monthly, custom) - AI-powered data analysis with local Ollama LLM (anomalies, forecasts, cost optimization, reports) — no cloud dependency - OPC UA Alarms & Conditions management with analytics and export - OPC UA history read from server historian - Calculation circuits (cumulative and non-cumulative formulas) - Tag transfer, copy and merge between connections - TimescaleDB time-series databaseStarting Price: 4000€/one-time -
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ITTIA DB
ITTIA
The ITTIA DB product family combines the best of time series, real-time data streaming, and analytics for embedded systems to reduce development time and costs. ITTIA DB IoT is a small-footprint embedded database for real-time resource-constrained 32-bit microcontrollers (MCUs), and ITTIA DB SQL is a high-performance time-series embedded database for single or multicore microprocessors (MPUs). Both ITTIA DB products enable devices to monitor, process, and store real-time data. ITTIA DB products are also built for the automotive industry Electronic Control Units (ECUs). ITTIA DB data security protocols offer data protection against malicious access with encryption, authentication, and DB SEAL. ITTIA SDL is conformant to the principles of IEC/ISO 62443. Embed ITTIA DB to collect, process, and enrich incoming real-time data streams in a purpose-built SDK for edge devices. Search, filter, join, and aggregate at the edge. -
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ZeusDB
ZeusDB
ZeusDB is a next-generation, high-performance data platform designed to handle the demands of modern analytics, machine learning, real-time insights, and hybrid data workloads. It supports vector, structured, and time-series data in one unified engine, allowing recommendation systems, semantic search, retrieval-augmented generation pipelines, live dashboards, and ML model serving to operate from a single store. The platform delivers ultra-low latency querying and real-time analytics, eliminating the need for separate databases or caching layers. Developers and data engineers can extend functionality with Rust or Python logic, deploy on-premises, hybrid, or cloud, and operate under GitOps/CI-CD patterns with observability built in. With built-in vector indexing (e.g., HNSW), metadata filtering, and powerful query semantics, ZeusDB enables similarity search, hybrid retrieval, filtering, and rapid application iteration. -
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EDAMS Environment & Government
Hydro-Comp Enterprises
Our Environmental Management system is ideal for Agriculture, Natural Resources and Environment Ministries. It manages Geospatial Info, time-series measurements, licenses, permits, applications as well as quality data for water, ground & air. The EDAMS Government Environmental Management system is ideal for Agriculture, Natural Resources and Environment Ministries. It manages Geospatial Info, time-series measurements, licenses, permits, applications as well as quality data for water, ground & air. Integration is enabled on a database level, business process and transaction levels avoiding data duplication and enabling demand management. EDAMS products have their own embedded GIS but also provide direct links to ESRI ArcGIS, Quantum GIS (QGIS) and SuperMap GIS. The EDAMS system is a modular system allowing it scalable implementation to suit the growth and capacity enhancement of the organisation. -
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AVEVA Historian
AVEVA
AVEVA Historian simplifies the most demanding data reporting and analysis requirements. Historian can be deployed to monitor a single process or an entire facility, storing data locally and aggregating data at the corporate level. Eliminating multiple versions of plant operating data in this way increases productivity, reduces errors, and lowers operating costs. Unlike conventional relational databases that are not well-suited to production environments, Historian handles time-series data, as well as alarm and event data. Unique “history block” technology captures plant data hundreds of times faster than a standard database system and utilizes a fraction of the conventional storage space. Historian will maintain the data integrity needed for the most demanding requirements. AVEVA Historian manages low bandwidth data communications, late-coming information, and even data from systems with mismatched system clocks. Ensuring high-resolution data is captured accurately every time. -
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kdb+
KX Systems
A high-performance cross-platform historical time-series columnar database featuring: - An in-memory compute engine - A real-time streaming processor - An expressive query and programming language called q kdb+ powers kdb Insights portfolio and KDB.AI, together delivering time-oriented data insights and generative AI capabilities to the world’s leading enterprise organizations. Independently benchmarked* as the fastest in-memory, columnar analytics database available, kdb+ delivers unmatched value to businesses operating in the toughest data environments. kdb+ improves decision-making processes to help navigate rapidly changing data landscapes. -
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dataPARC Historian
dataPARC
Get better performance from your time-series data with the dataPARC Historian, an enterprise-grade solution designed to elevate industrial data operations to new heights. The dataPARC Historian simplifies complex data sharing, ensuring seamless collaboration across departments with enhanced security and performance. Its compatibility with external AI, ML, and cloud applications via an open architecture increases adaptability and strategic insights. Experience rapid data access, enriched manufacturing intelligence, and a platform that grows with your business needs. dataPARC historian is the smart choice for enterprises aiming for the forefront of operational excellence. The dataPARC historian is more than a data historian; it's a gateway to unlocking greater flexibility and efficiency in leveraging your time-series data. It's crafted for those who demand reliability, speed, and intuitive use, making every data interaction impactful. -
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Narrator
Narrator
Narrator is a fundamentally new approach to data, answering any question without having to build a new model or update SQL. Other data companies help you build and manage models and tables. Good for them, but we eliminate that need altogether. Narrator models each business concept once from any source in your warehouse, in a single time-series table. Each takes five minutes and once built, does not have to change for new questions. New data questions or metrics never require new data prep. Every business concept can be queried, plotted, explored, and related together, all without SQL, using any data in your warehouse. Security at Narrator is not an afterthought, we design and build for it through every stage of our process. Encourage your team to ask an infinite number of follow-up questions, creating a culture that feeds curiosity, that liberates the business to ask, iterate, and innovate. -
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Apache Doris
The Apache Software Foundation
Apache Doris is a modern data warehouse for real-time analytics. It delivers lightning-fast analytics on real-time data at scale. Push-based micro-batch and pull-based streaming data ingestion within a second. Storage engine with real-time upsert, append and pre-aggregation. Optimize for high-concurrency and high-throughput queries with columnar storage engine, MPP architecture, cost based query optimizer, vectorized execution engine. Federated querying of data lakes such as Hive, Iceberg and Hudi, and databases such as MySQL and PostgreSQL. Compound data types such as Array, Map and JSON. Variant data type to support auto data type inference of JSON data. NGram bloomfilter and inverted index for text searches. Distributed design for linear scalability. Workload isolation and tiered storage for efficient resource management. Supports shared-nothing clusters as well as separation of storage and compute.Starting Price: Free -
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DataLux
Vivorbis
A data management and analytics platform built to address data challenges and enable real-time decision making. DataLux comes with plug & play adaptors, providing aggregation of large data sets and the ability to gather and visualise insights in real-time. Use the data lake to pre-empt new innovations. Store data, ready for data modelling. Create portable applications by utilising containeristion in a public, private cloud or on premise. Bring multiple time-series market and inferred data together such as stock exchange tick data, stock market policy actions, related and cross-industry news, alternative datasets to extract causal information about stock markets, macroeconomics and more. Shape business decisions, product innovations by providing insights and informing key decisions to improve products. Run interdisciplinary A/B experiments across product development, design and engineering from ideation to decision making. -
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CUBOT
Vizualytics
We created a business intelligence platform for business users to learn from data. CUBOT Business Intelligence is a single platform to integrate your data and to provide intelligence to those that need it. Imports ETL processed tables to create data models. In CUBOT Designer, an analyst can join transaction tables with relevant master tables to connect information across silos. CUBOT is designed to facilitate the use of organizational data. It is easy to set up scheduling actions and configure metrics that will ultimately be used to track and improve business growth. Allows variables to be defined by an analyst. CUBOT Configurator performs data aggregations, calculates measures, bins dimension values, and more. Tell CUBOT here if you have geographic or time-series data, so that you can do more with it later on. View figures across data attribute and drill down to the finest level of granularity. -
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RemoteAware GenAI Analytics Platform
New Boundary Technologies
RemoteAware™ GenAI Analytics Platform for IoT transforms complex streams of sensor and device data into clear, actionable insights using advanced generative AI models. It ingests and normalizes high‑volume, heterogeneous IoT data, whether from edge gateways, cloud APIs, or remote assets, and applies scalable AI pipelines to detect anomalies, forecast equipment failures, and generate prescriptive recommendations in plain‑language narratives. Through a unified, web‑based dashboard, users gain real‑time visibility into key performance indicators, customizable alerts and threshold‑based notifications, and dynamic drill‑down capabilities for time‑series analysis. The platform’s generative summary reports condense vast datasets into concise operational briefs, while its root‑cause analysis and what‑if simulations guide preventive maintenance and resource allocation. -
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Sider Scan
Sider Scan
Sider Scan is a lightning-fast duplicate code detection tool for software developers that finds and continuously monitors problems with code duplication. GitLab CI/CD, GitHubActions, Jenkins & CircleCI® integration. Installation using a Docker image. Easy team sharing of the analysis details. Continuous and fast analysis that runs in the background. Dedicated product support via email and phone. Sider Scan enhances long-term code quality and maintenance processes with in-depth duplicate code analysis. It's designed to complement other analysis tools, helping teams to produce cleaner code, and supporting continuous delivery. Sider finds duplicate blocks of code in your project and groups them. For each pair of duplicates, a diff library is created and pattern analyses are initiated to determine if there are any problems. This is referred to as the 'pattern' method of analysis. Time-series analysis is only possible when the scan is consistently run at regular intervals. -
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VictoriaMetrics Anomaly Detection
VictoriaMetrics
VictoriaMetrics Anomaly Detection is a service that continuously scans time series stored in VictoriaMetrics and detects unexpected changes within data patterns in real time. It does so by utilizing user-configurable machine learning models. In the dynamic and complex world of system monitoring, VictoriaMetrics Anomaly Detection, a part of our Enterprise offering, is a pivotal tool for achieving advanced observability. It empowers SREs and DevOps teams by automating the intricate task of identifying abnormal behavior in time-series data. It goes beyond traditional threshold-based alerting, utilizing machine learning techniques to detect anomalies and minimize false positives, thus reducing alert fatigue. Providing simplified alerting mechanisms atop unified anomaly scores enables teams to spot and address potential issues faster, ensuring system reliability and operational efficiency. -
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KDB.AI
KX Systems
KDB.AI is a powerful knowledge-based vector database and search engine that allows developers to build scalable, reliable and real-time applications by providing advanced search, recommendation and personalization for AI applications. Vector databases are a new wave of data management designed for generative AI, IoT and time-series applications. Here's why they matter, what makes them different, how they work, the new use cases they're designed for, and how to get started. -
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ArcadeDB
ArcadeDB
ArcadeDB is an open-source, next-generation multi-model database. Forget Polyglot Persistence — store graphs, documents, key-value pairs, search engine indexes, vectors, and time-series data all in one database with native support for every model. No translation layers, no performance penalties. Process over 10 million records per second. Traversal speed stays constant whether your database has hundreds or billions of records. Query in the language you prefer: SQL, Cypher, Gremlin, GraphQL, MongoDB API, or Java. Deploy ArcadeDB embedded in your JVM application, on a standalone server, or distributed across multiple nodes with Raft Consensus for high availability. Fully ACID-compliant. Super lightweight. Apache 2.0 licensed — free for production and commercial use.Starting Price: Free -
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Hydra
Hydra
Hydra is an open source, column-oriented Postgres. Query billions of rows instantly, no code changes. Hydra parallelizes and vectorizes aggregates (COUNT, SUM, AVG) to deliver the speed you’ve always wanted on Postgres. Boost performance at every size! Set up Hydra in 5 minutes without changing your syntax, tools, data model, or extensions. Use Hydra Cloud for fully managed operations and smooth sailing. Different industries have different needs. Get better analytics with powerful Postgres extensions, custom functions, and take control. Built by you, for you. Hydra is the fastest Postgres in the market for analytics. Boost performance with columnar storage, vectorization, and query parallelization. -
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FactoryTalk Historian
Rockwell Automation
It is time to retire the warn-out clip boards and tedious transcription of critical plant performance data. FactoryTalk® Historian software captures operational process data from multiple sources at lightning speed. You gain a supreme level of supervisory control, performance monitoring and quality assurance with robust FactoryTalk Historian software that can scale from machine to enterprise. Reliably recording time-series records at this pace would be impossible, even for your most caffeinated plant-floor record keeper. FactoryTalk Historian dashboards take that work off your hands. Plus, the added confidence in forecasting trends with reliable data will generate new level of productivity. With FactoryTalk Historian Site Edition (SE), data across your plant and enterprise can’t hide. Redundancy and high availability ensures continuous access to key plant data. -
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The Cisco® ASR 920 Series Aggregation Services Router (ASR) is a full-featured converged access platform designed for the cost-effective delivery of wireline and wireless services. These temperature-hardened, high-throughput, small form factor, low-power-consumption routers are optimized for mobile backhaul and business applications. The Cisco ASR 920 Router provides a comprehensive and scalable feature set of Layer 2 VPN (L2VPN) and Layer 3 VPN (L3VPN) services in a compact package. It also enables service providers to deploy Multiprotocol Label Switching (MPLS)-based VPN services from within the access layer. The Cisco ASR 920 Series offers key Carrier Ethernet features that simplify network operation; you can use them for premium services with enhanced service-level agreements (SLAs). An optional "pay-as-you-grow" feature and service activation model makes the Cisco ASR 920 Series flexible and cost-effective.
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Cloudera Data Warehouse
Cloudera
Cloudera Data Warehouse is a cloud-native, self-service analytics solution that lets IT rapidly deliver query capabilities to BI analysts, enabling users to go from zero to query in minutes. It supports all data types, structured, semi-structured, unstructured, real-time, and batch, and scales cost-effectively from gigabytes to petabytes. It is fully integrated with streaming, data engineering, and AI services, and enforces a unified security, governance, and metadata framework across private, public, or hybrid cloud deployments. Each virtual warehouse (data warehouse or mart) is isolated and automatically configured and optimized, ensuring that workloads do not interfere with each other. Cloudera leverages open source engines such as Hive, Impala, Kudu, and Druid, along with tools like Hue and more, to handle diverse analytics, from dashboards and operational analytics to research and discovery over vast event or time-series data. -
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The ASR 900 Series is a modular aggregation platform that delivers cost-effective converged mobile, residential, and business services. You get redundancy, a shallow depth, low power consumption, and high service scale in routers packed with useful features and optimized for small aggregation and remote point-of-presence (POP) applications. Deliver a greatly enhanced broadband customer experience. This series supports broadband aggregation for voice, video, data, and mobility services. It supports thousands of subscribers, and QoS scales to a large number of queues per device. Deployed as a pre-aggregation platform for mobile backhaul, the series can aggregate cell sites and use MPLS as a transport for RAN backhaul traffic. Get the timing services required in today’s converged access networks. The series offers integrated support for a variety of interfaces and can act as the source for network clocking for GPS and other interfaces.
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Eagle.io
Eagle.io
Transform your data into actionable insights with eagle.io Designed for system integrators and consultants, eagle.io helps you turn time-series data into actionable intelligence. Acquire data in real-time from any data logger or text file, transform data automatically using processing and logic, receive alerts for critical events, and share access with your clients. That’s why eagle.io is trusted by some of the world’s biggest companies to help them better understand their natural assets and environmental conditions in real time. -
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dbForge Studio for PostgreSQL is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to your requirements in a convenient and user-friendly interface. The tool provides a data editing tool to customize your queries and property window so that users can view all the required information of PostgreSQL database objects they are interested in. Key features: * AI Assistant Integration. * SQL Development. Save your time and improve code quality when creating and editing queries. * Explorer. Navigate through the object tree and find any PostgreSQL object you want. * Data Editor. Users can manage the settings of tables. * Data Export and Data Import. Supports 10+ widely used data formats, a number of advanced options, and templates for recurring scenarios. * Query Profiler. * Data and Schema Compare. * Data Generator. * Pivot Table.Starting Price: $89.95
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Fujitsu Enterprise Postgres
Fujitsu
Fujitsu Enterprise Postgres is an exceptionally reliable and robust relational database, created for organizations that require strong query performance and high availability. It is based on the world-renowned open-source system — PostgreSQL, with additional enterprise-grade features for enhanced security and better performance. Fujitsu Enterprise Postgres is installed and operated by Fujitsu’s database experts who can also assist with the migration of data from your existing database. Based on PostgreSQL, FEP is highly compatible with other systems and applications. The simple, clean graphic user interface improves the experience for DBAs executing core database functions, such as running queries, scanning, and back-up, making your data and reporting more accessible. -
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AI CERTs
AI CERTs
AI CERTs offers role-based, industry-relevant certification programs in artificial intelligence and blockchain, designed to make AI education accessible to both technical and non-technical individuals. It provides a broad catalog of learning paths and credentials. Among its offerings is the “AI+ Developer” certification, which guides learners through Python programming, data processing, machine learning, deep learning, NLP, computer vision, reinforcement learning, time-series analysis, model explainability, and cloud deployment, providing hands-on projects, labs, and an online proctored exam to validate competence. It also supports flexible modes of learning: self-paced or instructor-led, enabling learners to adapt their study to their schedule. AI CERTs aims to close the AI skills gap by offering updated curricula designed by industry and academic experts, continuously revised to match emerging industry needs.Starting Price: Free -
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The KX Delta Platform is a high-performance, enterprise-grade data management system designed to capture, store, and analyze real-time and historical data. Built atop kdb+, the world's leading time-series database, it offers flexible configuration parameters to support key deployment needs such as redundancy, load balancing, and fault tolerance, ensuring high availability. Robust security features, including LDAP authorization, data encryption, and permission controls, ensure strict compliance with data sensitivity and security standards. The platform enables users to visualize data in various formats through a dashboard builder, interactive data playback, and auto-generated reports, efficiently supporting program management. It facilitates the management, manipulation, and exploration of massive real-time and historical datasets, processing at exceptional speeds to support mission-critical applications.
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42
Saymon
SAYMON
Light. Quick. Beautiful. A modern Russian high-performance platform for solving problems of description, visualization, control and analytics of processes and elements that provide them. Expertise and experience in the fields of IT and TELECOM made it possible to create a platform that borrows the best ideas from traditional OSS/BSS/NGOSS (Frameworx) solutions and uses the latest HTML/AJAX, SQL/noSQL and TimeSeries technologies. The platform works with heterogeneous systems (for example, the Internet of things) and has powerful business intelligence capabilities. World-class software from Russia. Visualization of the IT landscape is an important step toward the successful operation of the company. Control of key technical indicators is a guarantee of uninterrupted operation. Monitoring the availability of communication channels, equipment, computers, servers and their components.Starting Price: $1000 one-time payment -
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SparkBeyond
SparkBeyond
SparkBeyond Discovery autonomously analyzes complex data, finding answers to business problems where you wouldn't think to look. Seamlessly integrate external data into your search space for a better grip on the real influencers of outcomes, and get a holistic perspective of your business reality. Move analytics projects beyond the experimental by interacting with data and insights in natural language, allowing a deeper alliance between analytics and business stakeholders. Future-proof the hard-won benefits of the analytics process by keeping an evergreen cycle of inputs and outputs. The world shifts, and so should your insights. From time-series to geo-spatial data, auto-connect most data in their raw, granular form, without writing a single line of code. See the bigger picture by integrating our curated database of world knowledge (maps, Wikipedia, demographics) or network of 3rd-party data providers. -
44
EMS SQL Management Studio
EMS Software
EMS SQL Management Studio for PostgreSQL is a complete solution for PostgreSQL database administration and development. The single workbench provides you with must-have tools for managing PostgreSQL databases and objects, as well as for database design, migration, extraction, query building, data import and export, database comparison, and running service tasks. Get access to all databases and their objects from a single console and manage them with a user-friendly interface. You can create and modify all server and database objects, set necessary properties, and view detailed info in advanced visual editors. Transfer structure changes from development to production database automatically with Compare databases tool. Create ER diagrams for newly developed databases to quickly deploy them. Create database maintenance tasks with advanced options and let SQL Studio run them on a regular basis.Starting Price: $260 one-time payment -
45
R
The R Foundation
R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R can be considered as a different implementation of S. There are some important differences, but much code written for S runs unaltered under R. R provides a wide variety of statistical (linear and nonlinear modelling, classical statistical tests, time-series analysis, classification, clustering, …) and graphical techniques, and is highly extensible. The S language is often the vehicle of choice for research in statistical methodology, and R provides an Open Source route to participation in that activity. One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed.Starting Price: Free -
46
Graphite
Graphite
Graphite is an enterprise-ready monitoring tool that runs equally well on cheap hardware or Cloud infrastructure. Teams use Graphite to track the performance of their websites, applications, business services, and networked servers. It marked the start of a new generation of monitoring tools, making it easier than ever to store, retrieve, share, and visualize time-series data. Graphite was originally designed and written by Chris Davis at Orbitz in 2006 as side project that ultimately grew to be their foundational monitoring tool. In 2008, Orbitz allowed Graphite to be released under the open-source Apache 2.0 license. Numerous large companies have deployed Graphite to production where it helps them to monitor their production e-commerce services and plan for growth. Metrics get fed into the stack via the Carbon service, which writes the data out to Whisper databases for long-term storage. -
47
Materialize
Materialize
Materialize is a reactive database that delivers incremental view updates. We help developers easily build with streaming data using standard SQL. Materialize can connect to many different external sources of data without pre-processing. Connect directly to streaming sources like Kafka, Postgres databases, CDC, or historical sources of data like files or S3. Materialize allows you to query, join, and transform data sources in standard SQL - and presents the results as incrementally-updated Materialized views. Queries are maintained and continually updated as new data streams in. With incrementally-updated views, developers can easily build data visualizations or real-time applications. Building with streaming data can be as simple as writing a few lines of SQL.Starting Price: $0.98 per hour -
48
AlloyDB
Google
A fully managed PostgreSQL-compatible database service for your most demanding enterprise workloads. AlloyDB combines the best of Google with PostgreSQL, for superior performance, scale, and availability. Fully compatible with PostgreSQL, providing flexibility and true portability for your workloads. Superior performance, 4x faster than standard PostgreSQL for transactional workloads. Fast, real-time insights, up to 100x faster analytical queries than standard PostgreSQL. AlloyDB AI can help you build a wide range of generative AI applications. AlloyDB Omni is a downloadable edition of AlloyDB designed to run anywhere. Scale up and achieve predictable performance and a high availability SLA of 99.99%, inclusive of maintenance, for your most demanding enterprise workloads. Automated and machine learning-enabled autopilot systems simplify management by handling database patching, backups, scaling, and replication for you. -
49
Raijin
RAIJINDB
In order to deal with sparse data, the Raijin Database uses a flat JSON representation for the data records. The Raijin Database supports SQL as its primary query language while lifting some of SQL's limitations. Data compression not only saves disk space but provides a performance boost with modern CPUs. Most NoSQL solutions are inefficient at or totally lack support for analytical queries. Raijin DB supports group by and aggregations using standard SQL syntax. Vectorized execution and cache-friendly algorithms allow large amounts of data to be operated on. Backed by optimized SIMD instructions (SSE2/AVX2) and a modern compressed hybrid columnar storage layer it ensures that your CPUs are not wasting cycles. This gives unparalleled data-crunching capabilities an order of magnitude faster compared to other solutions written in higher level or even interpreted languages which are inefficient at processing large amounts of data. -
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Proficy Historian
GE Vernova
Proficy Historian is a best-in-class historian software solution that collects industrial time-series and A&E data at very high speed, stores it efficiently and securely, distributes it, and allows for fast retrieval and analysis —driving greater business value. With decades of experience and thousands of successful customer installations around the world, Proficy Historian changes the way companies perform and compete by making data available for asset and process performance analysis. The most recent Proficy Historian enhances usability, configurability and maintainability with significant architectural improvements. Take advantage of the solution’s simple yet powerful features to unlock new value from your equipment, process data, and business models. Remote collector management with UX. Horizontal scalability that enables enterprise-wide data visibility.
