Search Results for "data analytics"
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Showing 50 open source projects for "data analytics"
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Auth0 for AI Agents now in GAConnect your AI agents to apps and data more securely, give users control over the actions AI agents can perform and the data they can access, and enable human confirmation for critical agent actions.
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Grafana: The open and composable observability platformGrafana is the open source analytics & monitoring solution for every database.
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1
StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
...It is also a unified OLAP covering most data analytics scenarios. -
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Greenplum Database
Massive parallel data platform for analytics, machine learning and AI
Rapidly create and deploy models for complex applications in cybersecurity, predictive maintenance, risk management, fraud detection, and many other areas. With its unique cost-based query optimizer designed for large-scale data workloads, Greenplum scales interactive and batch-mode analytics to large datasets in the petabytes without degrading query performance and throughput. Based on PostgreSQL, Greenplum provides you with more control over the software you deploy, reducing vendor lock-in, and allowing open influence on product direction. Greenplum reduces data silos by providing you with a single, scale-out environment for converging analytic and operational workloads, like streaming ingestion. ... -
3
pg_analytics
DuckDB-powered analytics for Postgres
pg_analytics (formerly named pg_lakehouse) puts DuckDB inside Postgres. With pg_analytics installed, Postgres can query foreign object stores like AWS S3 and table formats like Iceberg or Delta Lake. Queries are pushed down to DuckDB, a high-performance analytical query engine. By transforming Postgres into a performant search and analytics engine, ParadeDB frees your team from the pain of scaling and syncing Elasticsearch. -
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Bdash
Simple SQL Client for lightweight data analysis
Simple SQL Client for lightweight data analysis. You can share the result with gist. Supports MySQL, PostgreSQL (Amazon Redshift), SQLite3, Google BigQuery, Treasure Data, Amazon Athena. You can download and install from Web Site or Releases. -
Free and Open Source HR SoftwareGive your HR team the tools they need to streamline administrative tasks, support employees, and make informed decisions with the OrangeHRM free and open source HR software.
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DuckDB
DuckDB is an in-process SQL OLAP Database Management System
DuckDB is a high-performance analytical database system. It is designed to be fast, reliable and easy to use. DuckDB provides a rich SQL dialect, with support far beyond basic SQL. DuckDB supports arbitrary and nested correlated subqueries, window functions, collations, complex types (arrays, structs), and more. For more information on the goals of DuckDB, please refer to the Why DuckDB page on our website. Processing and storing tabular datasets, e.g. from CSV or Parquet files. Interactive... -
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Memgraph
Open-source graph database, tuned for dynamic analytics environments
A high-performance, in-memory graph database designed for real-time analytics and complex network data processing. -
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Cloudberry
One advanced and mature open-source MPP
Apache Cloudberry is a distributed real-time analytics engine designed for querying massive social media datasets. It integrates with Apache AsterixDB and supports efficient ad-hoc queries and aggregations across large volumes of data. Cloudberry is especially useful for dashboards, trend analysis, and time-series social data exploration. -
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CursusDB
CursusDB is an open-source distributed in-memory database
CursusDB is a time-series database built for high-performance analytics and data processing, optimized for handling large volumes of sequential data efficiently. -
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LinDB
LinDB is a scalable, high performance, high availability database
...A single server could easily support more than one million write TPS; With fundamental techniques like efficient compression storage and parallel computing, LinDB delivers highly optimized query performance. The multi-channel replication protocol supports any amount of nodes, and ensures the system's availability. Schema-free multi-dimensional data model with Metric, Tags, and Fields; The LinQL is flexible yet handy for real-time data analytics. Horizontal scalable is made simple by adding more new broker and storage nodes without too much thinking and manual operations. And the tags-based sharding strategy resolves the hotspot problem. LinDB is designed to work under a Multi-Active IDCs cloud architecture. ... -
Total Network Visibility for Network Engineers and IT ManagersThis means every device on your network, and every interface on every device is automatically analyzed for performance, errors, QoS, and configuration.
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MobilityDB
MobilityDB is a geospatial trajectory data management & analysis
MobilityDB is an extension for PostgreSQL and PostGIS that adds support for managing and querying moving object data, such as vehicles, vessels, or wildlife. It allows developers to store temporal and spatiotemporal data types and execute complex mobility analytics using SQL. It is particularly suited for GIS applications and location-based services. -
11
Apache Phoenix
Mirror of Apache Phoenix
Apache Phoenix is a SQL skin over HBase delivered as a client-embedded JDBC driver targeting low latency queries over HBase data. 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. -
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Apache Druid
A high performance real-time analytics database
Druid is designed for workflows where fast ad-hoc analytics, instant data visibility, or supporting high concurrency is important. As such, Druid is often used to power UIs where an interactive, consistent user experience is desired. Druid streams data from message buses such as Kafka, and Amazon Kinesis, and batch load files from data lakes such as HDFS, and Amazon S3. Druid supports most popular file formats for structured and semi-structured data. ... -
13
Flink CDC
Flink CDC is a streaming data integration tool
Apache Flink CDC is a distributed data integration tool that captures data changes in real-time from various databases. It leverages Change Data Capture (CDC) technology to stream data changes into Apache Flink, enabling real-time analytics and data processing. Flink CDC simplifies data pipeline development with its declarative YAML configurations. -
14
Blue Whale Configuration Platform
Blue Whale smart cloud configuration platform
Has accumulated experience in supporting hundreds of Tencent businesses, compatible with various complex system architectures, born in operation and maintenance, and proficient in operation and maintenance. From configuration management to job execution, task scheduling and monitoring self-healing, and then through operation and maintenance big data analysis to assist operational decision-making, it covers the full-cycle assurance management of business operations in a comprehensive manner.... -
15
CogDB
Micro Graph Database for Python Applications
Cog is a lightweight, embedded graph database for Go that provides a simple interface for storing and querying graph-based data structures, making it useful for knowledge representation and graph analytics. -
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Dungbeetle
A distributed job server
Dungbeetle is a metadata and data lineage tracking tool developed by Zerodha to map and visualize how data flows across systems. It helps teams maintain data transparency by tracking dependencies between databases, tables, and reports, offering a centralized view of data pipelines. Dungbeetle is designed to enhance observability and trust in analytics ecosystems. -
17
InfluxDB
The open source time series database
...Time series is currently the fastest growing database category there is, and InfluxDB is here to ensure businesses can keep up. InfluxDB provides infrastructure and application monitoring, IoT monitoring and analytics and more. It has APIs for storing and querying data, processing it in the background for ETL or monitoring and alerting purposes. This data can also be visualized, explored and more to help businesses seize opportunities and make the best decisions. InfluxDB is easy to start and easy to scale. Learn more about it on https://www.influxdata.com/ -
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Hydra Columnar
Postgres-native columnar storage extension
Hydra Columnar is an open-source columnar storage extension for PostgreSQL designed to deliver analytics performance on par with modern data warehouses. It integrates seamlessly with the PostgreSQL ecosystem, allowing users to benefit from columnar compression, vectorized execution, and late materialization without leaving their existing database setup. Hydra enables hybrid row-column storage, making it ideal for OLAP workloads on Postgres. -
19
KuzuDB
Embeddable property graph database management system
KuzuDB is a high-performance graph database optimized for analytical queries, built from the ground up with a columnar storage engine. It is designed to efficiently process large-scale graph workloads, making it ideal for data science, machine learning, and knowledge graph applications. -
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CrateDB
CrateDB is a distributed and scalable SQL database
CrateDB is a distributed SQL database designed for massive machine data and real-time analytics. It combines the scalability and performance of NoSQL with the power and simplicity of SQL, allowing for horizontal scaling, full-text search, and complex queries over large datasets. Built in Java and powered by Elasticsearch and Lucene, CrateDB is optimized for high-velocity data ingestion and dynamic queries. -
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IoTDB
Apache IoTDB
Apache IoTDB (Database for Internet of Things) is an IoT native database with high performance for data management and analysis, deployable on the edge and the cloud. Due to its light-weight architecture, high performance and rich feature set together with its deep integration with Apache Hadoop, Spark and Flink, Apache IoTDB can meet the requirements of massive data storage, high-speed data ingestion and complex data analysis in the IoT industrial fields. In the scene of factories, there... -
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KCloud‑Platform‑IoT
KCloud-Platform-IoT
KCloud-Platform-IoT is a comprehensive open-source IoT management platform built with Spring Cloud and Vue.js. It supports device registration, data collection, rule-based processing, and dashboard visualization. Designed for scalability and modularity, the platform is ideal for managing large IoT fleets in industrial or smart city environments. -
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TimescaleDB
An open-source time-series SQL database optimized for fast ingest
TimescaleDB is the open-source relational database for time-series and analytics. Build powerful data-intensive applications. Become instantly productive with full SQL. Rely on the same PostgreSQL you know, love, and trust. Hyperfunctions make time series easier. Achieve 10-100x faster queries than with vanilla PostgreSQL, InfluxDB, MongoDB. Write millions of data points per second per node. Horizontally scale to petabytes. -
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Lantern Database
PostgreSQL vector database extension for building AI applications
Lantern is a real-time data transformation engine that enables data engineers to build, run, and monitor streaming data pipelines with SQL. It’s designed to process events in motion, offering low-latency stream transformations, aggregations, and enrichment in a declarative way. Lantern is especially suited for modern data infrastructure and analytics platforms. -
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Milvus
Vector database for scalable similarity search and AI applications
...Rich APIs designed for data science workflows. Consistent user experience across laptop, local cluster, and cloud. Embed real-time search and analytics into virtually any application. Milvus’ built-in replication and failover/failback features ensure data and applications can maintain business continuity in the event of a disruption. Component-level scalability makes it possible to scale up and down on demand.
