Search Results for "disk"
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Showing 65 open source projects for "disk"
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1
Redis
An in-memory database that persists on disk
...To achieve top performance, Redis works with an in-memory dataset. Depending on your use case, you can persist your data either by periodically dumping the dataset to disk or by appending each command to a disk-based log. -
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HypoPG
Hypothetical Indexes for PostgreSQL
HypoPG is a PostgreSQL extension that allows you to create hypothetical indexes without actually building them on disk. It helps developers and DBAs test the impact of potential indexes on query performance before committing resources. By simulating indexes, HypoPG assists in query optimization and index strategy planning without any performance or storage cost. -
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UnQLite
An Embedded NoSQL, Transactional Database Engine
...UnQLite is an embedded NoSQL (Key/Value store and Document-store) database engine. Unlike most other NoSQL databases, UnQLite does not have a separate server process. UnQLite reads and writes directly to ordinary disk files. A complete database with multiple collections is contained in a single disk file. The database file format is cross-platform, you can freely copy a database between 32-bit and 64-bit systems or between big-endian and little-endian architectures. UnQLite is a Self-Contained C library without dependency. Built with a powerful disk storage engine which support O(1) lookup. -
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rosedb
High performance NoSQL database based on bitcask
...Easy to embed into your own Go application. High performance, suitable for both read and write-intensive workloads. Values are not limited by RAM. It is similar to Redis but store values on disk. RoseDB is based on bitcask. -
Cut Data Warehouse Costs by 54%BigQuery delivers 54% lower TCO with exabyte scale and flexible pricing. Free migration tools handle the SQL translation automatically.
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H2 Database
H2 is an embeddable RDBMS written in Java
Welcome to H2, the Java SQL database. Very fast, open source, JDBC API. Embedded and server modes; in-memory databases. Browser-based Console application. Small footprint: around 2.5 MB jar file size. Browser-based Console application. Encrypted databases. Fulltext search. Pure Java with small footprint: around 2.5 MB jar file size. ODBC driver. This database can be used in embedded mode, or in server mode. ou may get a security warning from the firewall. If you don't want other computers in... -
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dqlite
Embeddable, replicated and fault tolerant SQL engine
Dqlite is a fast, embedded, persistent SQL database with Raft consensus that is perfect for fault-tolerant IoT and Edge devices. Dqlite (distributed SQLite) extends SQLite across a cluster of machines, with automatic failover and high-availability to keep your application running. It uses C-Raft, an optimised Raft implementation in C, to gain high-performance transactional consensus and fault tolerance while preserving SQlite’s outstanding efficiency and tiny footprint. Stable Golang client... -
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VectorChord
Scalable, fast, and disk-friendly vector search in Postgres
VectorChord is an open-source vector database built for local and edge deployment. It supports efficient vector indexing and retrieval using ANN (approximate nearest neighbor) algorithms and is optimized for integration with LLM and AI applications. VectorChord is lightweight and can be embedded in a variety of environments for fast semantic search. -
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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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pgCenter
Command-line admin tool for observing and troubleshooting Postgres
pgCenter is a command-line monitoring and troubleshooting tool for PostgreSQL, inspired by tools like top. It provides real-time insight into query activity, locks, I/O, and system resources directly from the terminal. With its interactive UI, pgCenter helps DBAs diagnose performance issues and manage server health without switching tools. -
Go from Code to Production URL in SecondsSkip the Kubernetes configs. Cloud Run handles HTTPS, scaling, and infrastructure automatically. Two million requests free per month.
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10
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. Apart from its blazing speed, ClickHouse is highly... -
11
Irmin
Irmin is a distributed database
...You can use Irmin on top of your own storage layer. Automatic (de)serialization for custom data types. Runs anywhere from Linux to web browsers and Xen unikernels. Bi-directional compatibility with the Git on-disk format. Irmin state can be inspected and modified using the Git command-line tool. Allows users to define custom merge functions and create event-driven workflows using a notification mechanism. Runs anywhere from Linux to web browsers and Xen unikernels. Allows the users to define custom merge functions, use in-memory transactions (to keep track of reads as well as writes) and to define event-driven workflows using a notification mechanism. ... -
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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. -
13
ImmortalDB
A relentless key-value store for the browser
...For example, Evercookie's CSS History Knocking can beget a deluge of background HTTP requests, and loading Silverlight or Flash can raise unsought permission modals or thrash the user's disk. Doesn't use nefarious exploits nor deprecated third party plugins like Flash, Silverlight, or Java. Only standard, ratified HTML5 APIs are used. -
14
ShardingSphere
Distributed database ecosphere
Apache ShardingSphere is an open-source ecosystem consisted of a set of distributed database solutions, including 3 independent products, JDBC, Proxy & Sidecar (Planning). They all provide functions of data scale out, distributed transaction and distributed governance, applicable in a variety of situations such as Java isomorphism, heterogeneous language and cloud native. Apache ShardingSphere aiming at reasonably making full use of the computation and storage capacity of existed database in... -
15
Database Lab Engine (DLE)
DLE provides blazing-fast database cloning to build dev environments
Thin PostgreSQL clones. DLE provides blazing-fast database cloning to build powerful development, test, QA, staging environments. Follow to stay updated. The Database Lab Engine is an open-source experimentation platform for PostgreSQL databases. Instantly create full-size clones of your production database and use them to test your database migrations, optimize SQL, or deploy full-size staging apps. The Database Lab Engine (DLE) runs on an independent server within your own infrastructure.... -
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HyperSQL Database Engine (HSQLDB)
Relational Database
HSQLDB is a relational database engine written in Java, with a JDBC driver, conforming to ANSI SQL:2023. A small, fast, multithreaded engine and server with memory and disk tables, LOBs, transaction isolation, multiversion concurrency and ACID. -
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chb
Lightweight on-disk hash table for fast key-value storage in pure PHP
CHB (Colony Hash Bucket) is a lightweight on-disk hash table designed for simplicity, predictability, and fast key-value lookups. Data is organized into a fixed-size bucket directory that maps hash values to chains of records stored in a compact append-only area. Each record contains a pointer to the next record in the chain, a key-length field with deletion flag support, and a fixed-size payload area. -
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MayWeb
About MayWeb is a lightweight, beautifully designed local development
About MayWeb is a lightweight, beautifully designed local development environment built with ❤️. It lets you control Apache, MySQL, Redis, PHP versions, and more-all from a fast, modern UI. Ideal for developers who want performance, simplicity, and style in one powerful tool. -
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Barman for PostgreSQL
Backup and Recovery Manager for PostgreSQL
Barman (backup and recovery manager) is an administration tool for disaster recovery of PostgreSQL servers written in Python. It allows to perform remote backups of multiple servers in business critical environments and help DBAs during the recovery phase. Barman's most wanted features include backup catalogs, retention policies, remote recovery, archiving and compression of WAL files and backups. Barman is written and maintained by PostgreSQL professionals 2ndQuadrant. -
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LocustDB
Massively parallel, high performance analytics database
...To persist data to disk in LocustDB's internal storage format (which allows fast queries from disk after the initial load), specify the storage location with --db-path. -
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XLocate
Conveniently search and update any volume
...XLocate automatically recognizes through libmagic the most widespread locate database formats (GNU locate, slocate and mlocate/plocate). XLocate’s versions from 0.81 keep track of your disk partitions using their UUID, so you don’t have to specify anything in order to add them to the catalogue. You can conveniently search for files using any of the locate tools, even if not installed in your path. You can also transparently create and update indices from within the application. -
22
Skiplist-CPP
A tiny KV storage based on skiplist written in C++ language
...The project supplies a compact codebase with a clear separation between the skip list implementation and the storage operations that use it. Beyond in-memory operations, it demonstrates persistence through data dump to disk and reload, turning the structure into a tiny embeddable database. Stress-test scripts and example binaries are provided so you can benchmark throughput and validate correctness on your own machine. This makes the repo valuable for learners studying database internals and for practitioners who want a starting point for an embedded KV engine or educational experiments. -
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Arctic TimeSeries and Tick store
High performance datastore for time series and tick data
...Pandas DataFrames, Numpy arrays, Python objects via pickling etc. so you don't have to handle different datatypes manually. Uses LZ4 compression by default on the client side to get big savings on network / disk. Allows you to version different stages of an object and snapshot the state (In some ways similar to git), and allows you to freely experiment and then just revert back the snapshot. [VersionStore only] Does the chunking (breaking a Dataframe to smaller part for you. Has different types of Stores, each with it's own benefits. Eg. ... -
24
nonblonde
A Key/data Store
...Nonblonde tables are backed by b-trees that organize their nodes as critical bit trees. It allows multiple tables per store, atomic updates, keys of unlimited size. Head and tail key compression and a variable block size reduce the database disk size. Disk blocks are never modified in place, for which the written database is always in an intended state and does not need repair or recovery. -
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MarketStore
DataFrame server for financial timeseries data
...The batteries are included with the basic install, you can start pulling crypto price data from GDAX and writing it to the db with a simple plugin configuration. MarketStore enables you to query DataFrame content over the network at as low latency as your local HDF5 files from disk.