Alternatives to XTDB
Compare XTDB alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to XTDB in 2026. Compare features, ratings, user reviews, pricing, and more from XTDB competitors and alternatives in order to make an informed decision for your business.
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Teradata VantageCloud
Teradata
Teradata VantageCloud: The complete cloud analytics and data platform for AI. Teradata VantageCloud is an enterprise-grade, cloud-native data and analytics platform that unifies data management, advanced analytics, and AI/ML capabilities in a single environment. Designed for scalability and flexibility, VantageCloud supports multi-cloud and hybrid deployments, enabling organizations to manage structured and semi-structured data across AWS, Azure, Google Cloud, and on-premises systems. It offers full ANSI SQL support, integrates with open-source tools like Python and R, and provides built-in governance for secure, trusted AI. VantageCloud empowers users to run complex queries, build data pipelines, and operationalize machine learning models—all while maintaining interoperability with modern data ecosystems. -
2
TimeShiftX
Vornex
TimeShiftX is a date and time shift testing software that lets you time travel software into the future or past for temporal testing all date and time sensitive functionality and code such as end of year-month, daylight savings time, leap year, billing, rates, policies, etc. Perform time travel testing without changing system clocks, editing code, or isolating servers. -
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Rocket Relativity
Rocket Software
Rocket® Relativity® is a data access and modernization solution that brings relational database capabilities to existing COBOL applications without requiring changes to the original code or data structures. It enables organizations to access COBOL data in real time by presenting traditional COBOL files as relational data sources, allowing developers and business users to query and analyze information using standard SQL through ODBC or JDBC connectivity. This approach ensures that users work with the exact same live data as the COBOL application, rather than relying on replicated or outdated copies, preserving accuracy and consistency across systems. It supports integration with modern analytics and reporting tools such as Microsoft Excel, as well as business intelligence, data warehousing, and ETL processes, expanding the usability of legacy data across contemporary environments. -
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Kinetica
Kinetica
A scalable cloud database for real-time analysis on large and streaming datasets. Kinetica is designed to harness modern vectorized processors to be orders of magnitude faster and more efficient for real-time spatial and temporal workloads. Track and gain intelligence from billions of moving objects in real-time. Vectorization unlocks new levels of performance for analytics on spatial and time series data at scale. Ingest and query at the same time to act on real-time events. Kinetica's lockless architecture and distributed ingestion ensures data is available to query as soon as it lands. Vectorized processing enables you to do more with less. More power allows for simpler data structures, which lead to lower storage costs, more flexibility and less time engineering your data. Vectorized processing opens the door to amazingly fast analytics and detailed visualization of moving objects at scale. -
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Serverless, interactive querying for analyzing data in IBM Cloud Object Storage. Query your data directly where it is stored, there's no ETL, no databases, and no infrastructure to manage. IBM Cloud SQL Query uses Apache Spark, an open-source, fast, extensible, in-memory data processing engine optimized for low latency and ad hoc analysis of data. No ETL or schema definition needed to enable SQL queries. Analyze data where it sits in IBM Cloud Object Storage using our query editor and REST API. Run as many queries as you need; with pay-per-query pricing, you pay only for the data scan. Compress or partition data to drive savings and performance. IBM Cloud SQL Query is highly available and executes queries using compute resources across multiple facilities. IBM Cloud SQL Query supports a variety of data formats such as CSV, JSON and Parquet, and allows for standard ANSI SQL.Starting Price: $5.00/Terabyte-Month
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NVIDIA Picasso
NVIDIA
NVIDIA Picasso is a cloud service for building generative AI–powered visual applications. Enterprises, software creators, and service providers can run inference on their models, train NVIDIA Edify foundation models on proprietary data, or start from pre-trained models to generate image, video, and 3D content from text prompts. Picasso service is fully optimized for GPUs and streamlines training, optimization, and inference on NVIDIA DGX Cloud. Organizations and developers can train NVIDIA’s Edify models on their proprietary data or get started with models pre-trained with our premier partners. Expert denoising network to generate photorealistic 4K images. Temporal layers and novel video denoiser generate high-fidelity videos with temporal consistency. A novel optimization framework for generating 3D objects and meshes with high-quality geometry. Cloud service for building and deploying generative AI-powered image, video, and 3D applications. -
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CoViz 4D
Dynamic Graphics
Our advanced, flexible visualization environment helps you gain a deeper understanding of your surface and subsurface data, regardless of the application—energy, environment, government, or academia. The ability to rapidly integrate, visualize, and analyze diverse spatial and temporal datasets improves insight and optimizes subsequent decision-making. One major usage area for CoViz 4D is subsurface reservoir management, in both onshore and offshore fields. Understanding the changing response of a hydrocarbon reservoir over time is critical for optimizing development decisions and subsequent production. CoViz 4D makes it possible for multi-disciplinary asset teams to simultaneously view and interrogate all available data from seismic to simulation, regardless of the original data source. The understanding gained through data fusion is powerful in 3D and increases enormously when all 4D temporal data can also be integrated. -
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CompareData
Zidsoft
Compare and synchronize sql data visually. CompareData allows you to visually compare and synchronize data between sql databases. Compare table, view or query data and see differences highlighted on the screen. Compare table metadata, generate sql sync script, use the command line and internal scheduling to automate comparison and data synchronization. • Compare data of table, query or group of tables. • Synchronize table data at row, table or group level. • Compare table metadata including columns, primary key, indices, foreign keys, triggers, permission and check constraints. • Compare stored procedures, functions and sequences, • Cross-dbms support with ODBC. • Compare resultsets of any size. • Native 64-bit application. • Multi-threaded, multi-core support. • Free for comparing data and metadata.Starting Price: $495 single user license -
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Presto
Presto Foundation
Presto is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes ranging from gigabytes to petabytes. For data engineers who struggle with managing multiple query languages and interfaces to siloed databases and storage, Presto is the fast and reliable engine that provides one simple ANSI SQL interface for all your data analytics and your open lakehouse. Different engines for different workloads means you will have to re-platform down the road. With Presto, you get 1 familar ANSI SQL language and 1 engine for your data analytics so you don't need to graduate to another lakehouse engine. Presto can be used for interactive and batch workloads, small and large amounts of data, and scales from a few to thousands of users. Presto gives you one simple ANSI SQL interface for all of your data in various siloed data systems, helping you join your data ecosystem together. -
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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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SingleStore
SingleStore
SingleStore (formerly MemSQL) is a distributed, highly-scalable SQL database that can run anywhere. We deliver maximum performance for transactional and analytical workloads with familiar relational models. SingleStore is a scalable SQL database that ingests data continuously to perform operational analytics for the front lines of your business. Ingest millions of events per second with ACID transactions while simultaneously analyzing billions of rows of data in relational SQL, JSON, geospatial, and full-text search formats. SingleStore delivers ultimate data ingestion performance at scale and supports built in batch loading and real time data pipelines. SingleStore lets you achieve ultra fast query response across both live and historical data using familiar ANSI SQL. Perform ad hoc analysis with business intelligence tools, run machine learning algorithms for real-time scoring, perform geoanalytic queries in real time.Starting Price: $0.69 per hour -
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QueryPlus
QualCorp
QueryPlus© represents the next generation in insurance reporting. Taking your input, QueryPlus© dynamically writes complex SQL queries behind the scenes and then displays the results in a simple, familiar, and flexible grid format where data can be easily manipulated by simply dragging and dropping. From customer ranking reports to complex accounting reports, QueryPlus© allows you to get the critical business data you need quickly & efficiently. For those agencies with advanced reporting needs, QueryPlus© includes a customized report designer which allows you to create even the most complex reports using your custom dataset. Though the preferred format for data processing may often be that of Excel spreadsheets, QueryPlus© is also the tool of choice for those who want the most robust reporting features available. Providing a friendly, intuitive, visually-based, wizard-driven report design environment. -
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Wan2.1
Alibaba
Wan2.1 is an open-source suite of advanced video foundation models designed to push the boundaries of video generation. This cutting-edge model excels in various tasks, including Text-to-Video, Image-to-Video, Video Editing, and Text-to-Image, offering state-of-the-art performance across multiple benchmarks. Wan2.1 is compatible with consumer-grade GPUs, making it accessible to a broader audience, and supports multiple languages, including both Chinese and English for text generation. The model's powerful video VAE (Variational Autoencoder) ensures high efficiency and excellent temporal information preservation, making it ideal for generating high-quality video content. Its applications span across entertainment, marketing, and more.Starting Price: Free -
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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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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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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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Infobright DB
IgniteTech
Infobright DB is a high-performance enterprise database leveraging a columnar storage engine to enable business analysts to dissect data efficiently and more quickly obtain reports. InfoBright DB can be deployed on-premise or in the cloud. Store & analyze big data for interactive business intelligence and complex queries. Improve query performance, reduce storage cost and increase overall efficiency in business analytics and reporting. Easily store up to several hundred TB of data — traditionally not achievable with conventional databases. Run big data applications and eliminate indexing and partitioning — with zero administrative overhead. With the volumes of machine data exploding, IgniteTech’s Infobright DB is specifically designed to achieve high performance for large volumes of machine-generated data. Manage a complex ad hoc analytic environments without the database administration required by other products. -
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SAS Health
SAS
Accelerate the digital transformation and discover new insights from your data with tailored health analytic solutions. SAS Health Cohort Builder provides an interactive, drag-and-drop interface for querying and building cohorts with temporal relationships, no coding required. You can easily explore cohort characteristics and the effect of inclusion/exclusion criteria on patient populations to determine study feasibility. You can save cohort definitions for reuse, modify them and apply them to other real-world data assets for comparisons across populations, which saves time and resources. Validate results and do further analysis using in-memory analysis and visualization in SAS or other technologies (e.g., R, Python, and third-party visualization tools). SAS Health: Episode Builder puts the power to see – and edit – episode definitions in your hands. SAS applies fully documented logic to create episodes of care, and the logical business rules are transparent and auditable at any time. -
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Valentina Studio
Paradigma Software
Create, administer, query and explore Valentina DB, MySQL, MariaDB, PostgreSQL and SQLite databases for FREE. Design business reports running in Valentina Studio Pro, on Valentina Server or in an application with an Application Developer Kit. Backward Engineering in Standard with forwarding Engineering in Valentina Studio Pro. Reverse engineering and create diagrams for existing databases. Add new objects to diagrams. Write SQL queries with auto-completion, color syntax. Define, manage, save favorite queries; access recent queries. Function browser dictionary of each function. Consoles for errors, warnings, and performance. Search, Export result records into CSV, JSON, Excel. Edit properties of multiple objects at the same time. Drill down to tables and fields; incredible fast searching. Reverse engineering and create diagrams for existing databases. Add new objects to diagrams. Add/drop users, and groups, and manage privileges.Starting Price: $79 -
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CockroachDB
Cockroach Labs
CockroachDB: Cloud-native, distributed SQL. Your cloud applications deserve a cloud-native database. Cloud-based apps and services deserve a database that scales across clouds, eases operational complexity, and improves reliability. CockroachDB delivers resilient, distributed SQL with ACID transactions and data partitioned by location. Automate operations for mission-critical applications by pairing CockroachDB with orchestration tools like Kubernetes and Mesosphere DC/OS. Every node can service both reads and writes so that you can scale query throughput and database capacity by simply adding more endpoints. Just add new nodes to CockroachDB, and it automatically rebalances data, completely removing the pain of manual sharding. As demand shifts, CockroachDB detects hotspots and intelligently distributes data to maintain performance. Tune your database at the row level so that data lives close to your users and you can minimize query latency. -
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Apache Druid
Druid
Apache Druid is an open source distributed data store. Druid’s core design combines ideas from data warehouses, timeseries databases, and search systems to create a high performance real-time analytics database for a broad range of use cases. Druid merges key characteristics of each of the 3 systems into its ingestion layer, storage format, querying layer, and core architecture. Druid stores and compresses each column individually, and only needs to read the ones needed for a particular query, which supports fast scans, rankings, and groupBys. Druid creates inverted indexes for string values for fast search and filter. Out-of-the-box connectors for Apache Kafka, HDFS, AWS S3, stream processors, and more. Druid intelligently partitions data based on time and time-based queries are significantly faster than traditional databases. Scale up or down by just adding or removing servers, and Druid automatically rebalances. Fault-tolerant architecture routes around server failures. -
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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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JOIN
Digi Corp
JOIN is a BIM tool software developed to freely manage parameters and attributes in the IFC standard. It aims to manage all the information of a BIM model, extracting data in order to take decision in a construction project. The main features help to manage the Costs (BIM 5D) and Times (BIM 4D) in a construction projects. A 3D viewer is included to help you work with the model and the data. With JOIN the various players in the AEC sector can integrate the model with economic, technical, temporal and managerial data. These are essential to obtain constantly updated and consistent information at all stages of design, construction and maintenance of the building. The data are synchronized bidirectional between the model, the gantt chart and the costs estimate. -
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Temporal
Temporal
Temporal is the open source microservices orchestration platform for running mission critical code at any scale. It guarantees workflow completion of any size and complexity, has built-in support for exponential activity retries, and simplifies defining workflow compensation logic with native Saga pattern support. You can define retries, rollbacks, cleanup, and even human intervention steps in the case of failure. Workflows are defined in general-purpose programming languages that bring the ultimate flexibility for defining workflows of any complexity, especially when compared to markup-based DSLs. Temporal provides full visibility into end-to-end workflows that can span multiple services. It makes complex microservices orchestration manageable by providing a high level of insight into each workflow's state. Contrast this with ad-hoc orchestration based on queues where gaining visibility of your workflows is virtually impossible. -
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CrateDB
CrateDB
The enterprise database for time series, documents, and vectors. Store any type of data and combine the simplicity of SQL with the scalability of NoSQL. CrateDB is an open source distributed database running queries in milliseconds, whatever the complexity, volume and velocity of data. -
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Fluree
Fluree
Fluree is an immutable RDF graph database written in Clojure and adhering to W3C standards, supporting JSON and JSON-LD while accommodating various RDF ontologies; it boasts a scalable, cloud-native architecture utilizing a lightweight Java runtime, with individually scalable ledger and graph database components, embodying a "Data-Centric" ideology that treats data as a reusable asset independent of singular applications, underpinned by an immutable ledger that secures transactions with cryptographic integrity, alongside a rich RDF graph database capable of various queries, and employs SmartFunctions for enforcing data management rules, including identity and access management and data quality. -
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Qwen3-VL
Alibaba
Qwen3-VL is the newest vision-language model in the Qwen family (by Alibaba Cloud), designed to fuse powerful text understanding/generation with advanced visual and video comprehension into one unified multimodal model. It accepts inputs in mixed modalities, text, images, and video, and handles long, interleaved contexts natively (up to 256 K tokens, with extensibility beyond). Qwen3-VL delivers major advances in spatial reasoning, visual perception, and multimodal reasoning; the model architecture incorporates several innovations such as Interleaved-MRoPE (for robust spatio-temporal positional encoding), DeepStack (to leverage multi-level features from its Vision Transformer backbone for refined image-text alignment), and text–timestamp alignment (for precise reasoning over video content and temporal events). These upgrades enable Qwen3-VL to interpret complex scenes, follow dynamic video sequences, read and reason about visual layouts.Starting Price: Free -
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Vitess
Vitess
A database clustering system for horizontal scaling of MySQL. Vitess combines many important MySQL features with the scalability of a NoSQL database. Its built-in sharding features let you grow your database without adding sharding logic to your application. Vitess automatically rewrites queries that hurt database performance. It also uses caching mechanisms to mediate queries and prevent duplicate queries from simultaneously reaching your database. Vitess automatically handles functions like master failovers and backups. It uses a lock server to track and administer servers, letting your application be blissfully ignorant of database topology. Vitess eliminates the high-memory overhead of MySQL connections. Vitess servers easily handle thousands of connections at once. MySQL doesn’t natively support sharding, but you will likely need it as your database grows. -
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SAP IQ
SAP
Enhance in-the-moment decision-making with SAP IQ, our columnar relational database management system (RDBMS) optimized for Big Data analytics. Gain maximum speed, power, and security, while supporting extreme-scale enterprise data warehousing and Big Data analytics, with this affordable, efficient relational database management system (RDBMS) for SAP Business Technology Platform. Deploy as a fully managed cloud service on a major hyper scale platform. Ingest, store, and query large data volumes within a relational data lake that provides a native object storage for most file types. Provide a compatible, fully managed cloud option for SAP IQ customers that extend existing Sybase investments. Simplify the migration of existing SAP IQ databases to the cloud. Make Big Data available faster to applications and people for in-the-moment decisions. -
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Apache Phoenix
Apache Software Foundation
Apache Phoenix enables OLTP and operational analytics in Hadoop for low-latency applications by combining the best of both worlds. The power of standard SQL and JDBC APIs with full ACID transaction capabilities and the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store. Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce. Become the trusted data platform for OLTP and operational analytics for Hadoop through well-defined, industry-standard APIs. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows.Starting Price: Free -
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IBM Db2
IBM
IBM Db2 is a family of data management products, including the Db2 relational database. The products feature AI-powered capabilities to help you modernize the management of both structured and unstructured data across on-premises and multicloud environments. By helping to make your data simple and accessible, the Db2 family positions your business to pursue the value of AI. Most of the Db2 family is available on the IBM Cloud Pak® for Data platform, either as an add-on or an included data source service, making virtually all of your data available across hybrid or multicloud environments to fuel your AI applications. Easily converge your transactional data stores and rapidly derive insights through universal, intelligent querying of data across disparate sources. Cut costs with the multimodel capability that eliminates the need for data replication and migration. Enhance agility by running Db2 on any cloud vendor. -
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SSuite MonoBase Database
SSuite Office Software
Create relational or flat file databases with unlimited tables, fields, and rows. Includes a custom report builder. Interface with ODBC compatible databases and create custom reports for them. Create your own personal and custom databases. Some Highlights: - Filter tables instantly - Ultra simple graphical-user-interface - One click table and data form creation - Open up to 5 databases simultaneously - Export your data to comma separated files - Create custom reports for all your databases - Full helpfile to assist in creating database reports - Print tables and queries directly from the data grid - Supports any SQL standard that your ODBC compatible database requires Please install and run this database application with full administrator rights for best performance and user experience. Requires: . 1024x768 Display Size . Windows 98 / XP / 7 / 8 / 10 - 32bit and 64bit No Java or DotNet required. Green Energy Software. Saving the planet one bit at a time...Starting Price: Free -
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Solcast
Solcast
Solcast is a cloud-based solar and weather data software built to provide high-resolution, bankable historical, live, and forecast solar irradiance, weather, and photovoltaic (PV) power data for renewable energy applications, delivered through a scalable REST API and developer tools. It tracks real-time satellite cloud cover and blends that with advanced weather models to deliver solar irradiance forecasts from five minutes up to 14 days ahead with high spatial and temporal resolution, and also supplies historical time series from 2007 to seven days ago for performance analysis. Solcast supports multiple PV power forecast models (Rooftop PV, Advanced PV, and Premium PV) that estimate actuals and future output for solar assets of any scale, and its API returns data in JSON or CSV formats suitable for integration into energy software, analytics platforms, or custom workflows. Developers can access this data using native HTTP clients or SDKs (such as Python and C#) with code examples. -
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Decart Mirage
Decart Mirage
Mirage is the world’s first real‑time, autoregressive video‑to‑video transformation model that instantly turns any live video, game, or camera feed into a new digital world without pre‑rendering. Powered by Live‑Stream Diffusion (LSD) technology, it processes inputs at 24 FPS with under 40 ms latency, ensuring smooth, continuous transformations while preserving motion and structure. Mirage supports universal input, webcams, gameplay, movies, and live streams, and applies text‑prompted style changes on the fly. Its advanced history‑augmentation mechanism maintains temporal coherence across frames, avoiding the glitches common in diffusion‑only approaches. GPU‑accelerated custom CUDA kernels deliver up to 16× faster performance than traditional methods, enabling infinite streaming without interruption. It offers real‑time mobile and desktop previews, seamless integration with any video source, and flexible deployment.Starting Price: Free -
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PolarDB
Alibaba Cloud
PolarDB is designed for business-critical database applications that require fast performance, high concurrency, and automatic scaling. You can scale up to millions of queries per second and 100 TB per database cluster with 15 low latency read replicas. PolarDB is six times faster than standard MySQL databases, and delivers the security, reliability, and availability of traditional commercial databases at 1/10 the cost. PolarDB embodies the proven database technology and best practices honed over the last decade that supported hyper-scale events such as the Alibaba Double 11 Global Shopping Festival. To support the developer community, we are introducing Always Free ApsaraDB for PolarDB (all three variations) when you use no more than 1 instance (2-core and 8GB of memory), and up to 50GB of storage. Register now and renew each month to continue this benefit. Regional resource availability is subject to change. -
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TwelveLabs
TwelveLabs
TwelveLabs offers the world’s most powerful video intelligence platform, enabling users to analyze, remix, and automate workflows using AI that can see, hear, and reason across entire video content. The platform’s AI can understand not just the visuals but also the temporal and spatial relationships within videos, providing deep insights and context. With capabilities such as fast, precise search across speech, text, audio, and visuals, TwelveLabs allows businesses to unlock the full potential of their video libraries. The platform is scalable, customizable, and deployable across various environments, from cloud to on-premise, offering enterprises a flexible and efficient solution for video data management.Starting Price: $0.033 per minute -
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Actable AI
Actable AI
Powered by open-source state-of-the-art AutoML to train quality models without hassle. Leverages Deep Learning and pre-trained models for extra intelligence whenever applicable. Utilizes Causal AI with AutoML for fairness, causal inference and counterfactual predictions. All trained models are deployed instantly to be used interactively online or with an API. Full feature importances and model explanations with Shapley values. Our AI engine is entirely open-source. It means our algorithms can be fully audited and used everywhere. Clusters customers or products to similar cohorts with a rich set of features. Forecasts future by capturing temporal patterns from historical data. Trains predictive models with labelled data to predict unlabelled data.Starting Price: $80 per user per month -
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Hyperdrive
Galaxy
Hyperdrive is a state-of-the-art data process data system for advanced process control. It ingests millions of process control data points for each batch or run. Data are automatically validated, temporally aligned, and augmented as needed. Depending on the application, the cleaned and aligned data are then presented to one of an array of available analysis tools for predictive maintenance, virtual metrology, and advanced process control. Hyperdrive’s scalability and adaptability make it a versatile tool that revolutionizes predictive analytics and process optimization in various industries looking to enhance operational efficiency and minimize unforeseen disruptions. The result of two years of R&D in collaboration with our industry partners, Hyperdrive has proven itself with real fab data in multiple real production environments. Empowers engineers to anticipate potential problems before they happen. -
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Apache Pinot
Apache Corporation
Pinot is designed to answer OLAP queries with low latency on immutable data. Pluggable indexing technologies - Sorted Index, Bitmap Index, Inverted Index. Joins are currently not supported, but this problem can be overcome by using Trino or PrestoDB for querying. SQL like language that supports selection, aggregation, filtering, group by, order by, distinct queries on data. Consist of of both offline and real-time table. Use real-time table only to cover segments for which offline data may not be available yet. Detect the right anomalies by customizing anomaly detect flow and notification flow. -
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An enhanced version of PostgreSQL that is continuously synchronized with PostgreSQL's with enhancements for Security, DBA and Developer features and Oracle database compatibility. Manage deployment, high availability and automated failover from Kubernetes. Deploy anywhere with lightweight, immutable Postgres containers. Automate with failover, switchover, backup, recovery, and rolling updates. Operator and images are portable to any cloud so you can avoid lock-in. Overcome containerization and Kubernetes challenges with our experts. Oracle compatibility means you can leave your legacy database without starting over. Migrate database and client applications faster with fewer rewrite problems. Improve the end-user experience by tuning and boosting performance. Deploy on-premises, in the cloud, or both. In a world where downtime means revenue loss, High Availability is key for business continuity.Starting Price: $1000.00/one-time
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BigchainDB
BigchainDB
With high throughput, low latency, powerful query functionality, decentralized control, immutable data storage and built-in asset support, BigchainDB is like a database with blockchain characteristics. BigchainDB allows developers and enterprise to deploy blockchain proof-of-concepts, platforms and applications with a blockchain database, supporting a wide range of industries and use cases. Rather than trying to enhance blockchain technology, BigchainDB starts with a big data distributed database and then adds blockchain characteristics - decentralized control, immutability and the transfer of digital assets. No single point of control. No single point of failure. Decentralized control via a federation of voting nodes makes for a P2P network. Write and run any MongoDB query to search the contents of all stored transactions, assets, metadata and blocks. Powered by MongoDB itself. -
42
Runway Aleph
Runway
Runway Aleph is a state‑of‑the‑art in‑context video model that redefines multi‑task visual generation and editing by enabling a vast array of transformations on any input clip. It can seamlessly add, remove, or transform objects within a scene, generate new camera angles, and adjust style and lighting, all guided by natural‑language instructions or visual prompts. Built on cutting‑edge deep‑learning architectures and trained on diverse video datasets, Aleph operates entirely in context, understanding spatial and temporal relationships to maintain realism across edits. Users can apply complex effects, such as object insertion, background replacement, dynamic relighting, and style transfers, without needing separate tools for each task. The model’s intuitive interface integrates directly into Runway’s existing Gen‑4 ecosystem, offering an API for developers and a visual workspace for creators. -
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Gen-4.5
Runway
Runway Gen-4.5 is a cutting-edge text-to-video AI model from Runway that delivers cinematic, highly realistic video outputs with unmatched control and fidelity. It represents a major advance in AI video generation, combining efficient pre-training data usage and refined post-training techniques to push the boundaries of what’s possible. Gen-4.5 excels at dynamic, controllable action generation, maintaining temporal consistency and allowing precise command over camera choreography, scene composition, timing, and atmosphere, all from a single prompt. According to independent benchmarks, it currently holds the highest rating on the “Artificial Analysis Text-to-Video” leaderboard with 1,247 Elo points, outperforming competing models from larger labs. It enables creators to produce professional-grade video content, from concept to execution, without needing traditional film equipment or expertise. -
44
MonetDB
MonetDB
Choose from a wide range of SQL features to realise your applications from pure analytics to hybrid transactional/analytical processing. When you're curious about what's in your data; when you want to work efficiently; when your deadline is closing: MonetDB returns query result in mere seconds or even less. When you want to (re)use your own code; when you need specialised functions: use the hooks to add your own user-defined functions in SQL, Python, R or C/C++. Join us and expand the MonetDB community spread over 130+ countries with students, teachers, researchers, start-ups, small businesses and multinational enterprises. Join the leading Database in Analytical Jobs and surf the innovation! Don’t lose time with complex installation, use MonetDB’s easy setup to get your DBMS up and running quickly. -
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Alibaba Cloud DRDS
Alibaba
Distributed Relational Database Service (DRDS) is a lightweight, flexible, stable, and efficient middleware product developed by Alibaba Cloud. DRDS focuses on expanding standalone relational databases, and has been tested by core transaction links in Tmall, such as during the Singles’ Day Shopping Festival. DRDS has been used for ten years and is a trusted database service provider. Supports cluster-based data read and write and data storage. DRDS operates on multiple standalone servers, and performance is not affected by the number of user connections. Supports upgraded and downgraded data configurations, and the visualized scale-up and scale-out of data storage. Provides read and write splitting to linearly improve the reading performance. Supports multiple data splitting methods based on data types, such as parallel data splitting. Focuses on the primary shards of the database and supports parallel query execution. -
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Tibero
TmaxSoft
Tibero is a relational model-based standard DBMS that has been developed with stable architecture that requires minimal resources from the design step. It allows to efficiently respond to big data processing requests from massive sessions. In addition, it provides a flexible and user-friendly development and easy operating environment based on standards and compatibility. - Multi-Process, multi-thread architecture and various data processing technologies, which support reliable and effective resource management and rapidly process multi-user requests. 1. Shared-disk based active clustering that assures high availability and reliability. 2. Development environment compatibility in compliance with standards. -
47
NVIDIA Cosmos
NVIDIA
NVIDIA Cosmos is a developer-first platform of state-of-the-art generative World Foundation Models (WFMs), advanced video tokenizers, guardrails, and an accelerated data processing and curation pipeline designed to supercharge physical AI development. It enables developers working on autonomous vehicles, robotics, and video analytics AI agents to generate photorealistic, physics-aware synthetic video data, trained on an immense dataset including 20 million hours of real-world and simulated video, to rapidly simulate future scenarios, train world models, and fine‑tune custom behaviors. It includes three core WFM types; Cosmos Predict, capable of generating up to 30 seconds of continuous video from multimodal inputs; Cosmos Transfer, which adapts simulations across environments and lighting for versatile domain augmentation; and Cosmos Reason, a vision-language model that applies structured reasoning to interpret spatial-temporal data for planning and decision-making.Starting Price: Free -
48
KS DB Merge Tools
KS DB Merge Tools
KS DB Merge Tools is an easy to use diff & merge tool for MySQL, MariaDB, Oracle Database, SQL Server, PostgreSQL, SQLite, MS Access and Cross-DBMS databases allowing to compare and sync both schema and data. Starting with a schema changes summary, results can be narrowed down to object lists of particular object type (table definitions, views, etc.), and then down to definition of particular object. Data changes can be retrieved as a high-level list of changes totals across all tables in the database, each total row count can be observed as a side-by-side list of rows for the given table, each changed row can be analyzed for changes in each column. Various diff results provide quick filters to show only new/changed/new+changed items (schema objects or table data rows), ability to select required changed items and generate scripts to apply these changes to the other side database. This script can be executed immediately or saved for future use.Starting Price: $65 -
49
Datomic
Datomic
Build flexible, distributed systems that can leverage the entire history of your critical data, not just the most current state. Build them on your existing infrastructure or jump straight to the cloud. Critical insights come from knowing the full story of your data, not just the most recent state. Datomic stores a record of immutable facts, which gives your applications strong consistency combined with horizontal read scalability, plus built-in caching. Since facts are never updated in place and all data is retained by default, you get built-in auditing and the ability to query history. All of this with fully ACID-compliant transactions. Datomic's information model scales to a wide variety of different use cases. With the Datomic Peer library, you can distribute immutable data to your application nodes to provide in-memory access to your data. Or, take advantage of the client library to create lightweight nodes for your microservice architectures.Starting Price: Free -
50
VideoPoet
Google
VideoPoet is a simple modeling method that can convert any autoregressive language model or large language model (LLM) into a high-quality video generator. It contains a few simple components. An autoregressive language model learns across video, image, audio, and text modalities to autoregressively predict the next video or audio token in the sequence. A mixture of multimodal generative learning objectives are introduced into the LLM training framework, including text-to-video, text-to-image, image-to-video, video frame continuation, video inpainting and outpainting, video stylization, and video-to-audio. Furthermore, such tasks can be composed together for additional zero-shot capabilities. This simple recipe shows that language models can synthesize and edit videos with a high degree of temporal consistency.
