Search Results for "ekho-data"
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Showing 262 open source projects for "ekho-data"
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AI-powered service management for IT and enterprise teamsGive your IT, operations, and business teams the ability to deliver exceptional services—without the complexity. Maximize operational efficiency with refreshingly simple, AI-powered Freshservice.
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Go From AI Idea to AI App FastAccess Gemini 3 and 200+ models. Build chatbots, agents, or custom models with built-in monitoring and scaling.
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ArcticDB
ArcticDB is a high performance, serverless DataFrame database
Built for the modern Python Data Science ecosystem, ArcticDB transforms your ability to handle complex real-world data with an Incredibly fast proven Petabyte scale. ArcticDB is designed with quant users in mind. It allows you to self-manage your data leveraging your preferred infrastructure. Giving you the keys to protect your most valuable asset. Supports large concurrent writes to many tables ensuring datasets can be onboarded fast and in the most convenient format. ... -
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ClickHouse
A fast open-source OLAP database management system
ClickHouse® is a fast, open-source column-oriented database management system that can generate analytical data reports through SQL queries in real time. According to several independent benchmarks, it far exceeds other comparable column-oriented database management systems, working even up to 1000 times faster. It is able to process hundreds of millions to more than a billion rows and tens of gigabytes of data per single server per second. -
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Vespa
The open big data serving engine
Make AI-driven decisions using your data, in real-time. At any scale, with unbeatable performance. Vespa is a full-featured text search engine and supports both regular text search and fast approximate vector search (ANN). This makes it easy to create high-performing search applications at any scale, whether you want to use traditional techniques or a modern vector-based approach. -
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pgModeler
Open-source data modeling tool designed for PostgreSQL
pgModeler is an open-source data modeling tool for PostgreSQL, enabling visual creation and management of database schemas. It supports reverse engineering from existing databases, model validation, and SQL export, providing a full-featured GUI for database design. pgModeler is suited for developers, DBAs, and analysts who want to streamline schema creation and documentation. -
Full-stack observability with actually useful AI | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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DuckDB
DuckDB is an in-process SQL OLAP Database Management System
...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 data analysis, e.g. Joining & aggregate multiple large tables. Concurrent large changes, to multiple large tables, e.g. appending rows, adding/removing/updating columns. Large result set transfer to client. For development, DuckDB requires CMake, Python3 and a C++11 compliant compiler. Run make in the root directory to compile the sources. ... -
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OceanBase
OceanBase is an enterprise distributed relational database
...OceanBase Database is not dependent on specific hardware architectures. Single server failure recovers automatically. OceanBase Database supports cross-city disaster tolerance for multiple IDCs and zero data loss. OceanBase Database meets the financial industry Level 6 disaster recovery standard (RPO=0, RTO<=30 seconds). OceanBase Database scales transparently to applications and balances the system load automatically. Its cluster can contain more than 1500 nodes. The data volume can reach petabytes. The records in a single table can be more than a trillion rows. ... -
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GridDB
GridDB is a next-generation open source database
...Multi-model architecture capable of supporting various data stores with time-series data-oriented and pluggable data stores for efficient real-time processing and management of huge amounts of time-series data at high frequency. Various architectural innovations, such as in-memory orientation with "memory as the main unit and disk as the secondary unit" and event-driven design with minimal overhead, have been incorporated to achieve processing capabilities that can handle petabyte-scale applications. -
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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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StarRocks
StarRocks is a next-gen sub-second MPP database for full analytics
...From streaming data to change data capture, StarRocks meets the data ingestion demands of real-time analytics. Scale storage and computing power horizontally and support tens of thousands of concurrent users. All of your BI tools work with StarRocks through standard SQL. StarRocks provides superior performance. It is also a unified OLAP covering most data analytics scenarios. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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Dragonfly
A modern replacement for Redis and Memcached
Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. ... -
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QuestDB
An open source SQL database designed to process time series data
...It includes endpoints for PostgreSQL wire protocol, high-throughput schema-agnostic ingestion using InfluxDB Line Protocol, and a REST API for queries, bulk imports, and exports. QuestDB implements ANSI SQL with native extensions for time-oriented language features. These extensions make it simple to correlate data from multiple sources using relational and time series joins. QuestDB achieves high performance from a column-oriented storage model, massively-parallelized vector execution, SIMD instructions, and various low-latency techniques. The entire codebase was built from the ground up in Java and C++, with no dependencies, and is 100% free from garbage collection. ... -
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FoundationDB
Open source, distributed, transactional key-value store
FoundationDB gives you the power of ACID transactions in a distributed database. FoundationDB is multi-model, meaning you can store many types data in a single database. All data is safely stored, distributed, and replicated in the Key-Value Store component. FoundationDB is easy to install, grow, and manage. It has a distributed architecture that gracefully scales out, and handles faults while acting like a single ACID database. FoundationDB provides amazing performance on commodity hardware, allowing you to support very heavy loads at low cost. ... -
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AliSQL
MySQL branch originated from Alibaba Group
AliSQL is a MySQL branch that originated from Alibaba Group. It is based on the MySQL official release and has many features and performance enhancements. AliSQL has proven to be very stable and efficient in a production environment. It can be used as a free, fully compatible, enhanced and open-source drop-in replacement for MySQL. AliSQL has been an open-source project since August 2016. It is being actively developed by engineers from Alibaba Group. Moreover, it includes patches from... -
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MongoDB C++ Driver
C++ Driver for MongoDB
The MongoDB C++ Driver is the official client library for integrating MongoDB with C++ applications, enabling efficient document-based data storage and retrieval. -
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YugabyteDB
The high-performance distributed SQL database for global apps
...YugabyteDB reuses PostgreSQL’s query layer and supports all advanced features. Scale-out and in with zero impact. Proven in production to scale beyond 300K TPS, over 100TB of data, and thousands of concurrent connections. Achieve continuous availability during infrastructure failures and on maintenance tasks such as software upgrades and distributed backups. Use powerful replication and data geo-partitioning capabilities to achieve the latency, resilience, and compliance your applications need. Deploy YugabyteDB in public, private, and hybrid cloud environments, on VMs, containers, or bare metal. ... -
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osm2pgsql
Import OpenStreetMap data into a PostgreSQL/PostGIS database
osm2pgsql is a powerful tool for importing OpenStreetMap (OSM) data into a PostgreSQL/PostGIS database, enabling geographic data analysis and map rendering. It supports various rendering schemas like "flex" and "lua" to customize how data is loaded and indexed. Designed for performance and scalability, osm2pgsql is widely used in map tile generation pipelines and by GIS professionals handling large-scale spatial datasets. -
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OceanBase seekdb
The AI-Native Search Database
...Built on the OceanBase engine, it maintains ACID compliance and MySQL compatibility while delivering real-time analytical performance. Overall, seekdb positions itself as a unified data foundation for next-generation AI applications that require both transactional and semantic retrieval capabilities. -
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Apache Impala
Apache Impala
Impala provides low latency and high concurrency for BI/analytic queries on the Hadoop ecosystem, including Iceberg, open data formats, and most cloud storage options. Impala also scales linearly, even in multitenant environments. Impala is integrated with native Hadoop security and Kerberos for authentication, and via the Ranger module, you can ensure that the right users and applications are authorized for the right data. Utilize the same file and data formats and metadata, security, and resource management frameworks as your Hadoop deployment, with no redundant infrastructure or data conversion/duplication. ... -
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Nebula Graph
A distributed, fast open-source graph database
The graph database built for super large-scale graphs with milliseconds of latency. Optimized SUBGRAPH and FIND PATH for better performance. Optimized query paths to reduce redundant paths and time complexity. Optimized the method to get properties for better performance of MATCH statements. Nebula Graph adopts the Apache 2.0 license, one of the most permissive free software licenses in the world. Free as in freedom, because, under the Apache 2.0 license, you can use, copy, modify and... -
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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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BaikalDB
BaikalDB, A Distributed HTAP Database
BaikalDB is a distributed enhanced structured database system. It supports sequential and randomized real-time read/write of structural data in a petabytes-scale. BaikalDB is compatible with MySQL protocol and it supports MySQL-style SQL dialect, by which users can migrate their data storage from MySQL to BaikalDB seamlessly. BaikalDB internally provides projections, filter operators (corresponding with SQL WHERE or HAVING clause), aggregation operators (corresponding with GROPY BY clause) and sort operators (corresponding with SQL ORDER BY), with which users can fulfill their complex and time-critical analytical and transactional requirement by writing SQL statements. ... -
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realm by MongoDB
Realm is a mobile database, an alternative to SQLite key-value stores
...The idiomatic, object-oriented data model can save you thousands of lines of code. Realm’s live objects mean data updated anywhere is automatically updated everywhere. If you need to freeze elements of your data for Reactive frameworks, you can do that, too. -
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RocksDB
A library with an embeddable, persistent key-value store for storage
...RocksDB exploits the full potential of high read/write rates offered by flash or RAM. RocksDB is adaptable to different workloads. From database storage engines such as MyRocks to application data caching to embedded workloads, RocksDB can be used for a variety of data needs. RocksDB provides basic operations such as opening and closing a database, reading and writing to more advanced operations such as merging and compaction filters. -
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react-native-mmkv-storage
Encrypted mobile key-value storage framework for React Native
An ultra fast(0.0002s read/write), small & encrypted mobile key-value storage framework for React Native written in C++ using JSI. This library aims to provide a fast & reliable solution for you data storage needs in react-native apps. It uses MMKV by Tencent under the hood on Android and iOS both that is used by their WeChat app(more than 1 Billion users). Unlike other storage solutions for React Native, this library lets you store any kind of data type, in any number of database instances, with or without encryption in a very fast and efficient way. ... -
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chDB
chDB is an in-process OLAP SQL Engine
chDB is an in-process SQL OLAP Engine powered by ClickHouse. It is developed by ClickHouse, Inc and open-source contributors.
