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DBMS > AlaSQL vs. Redis vs. RocksDB vs. Sphinx

System Properties Comparison AlaSQL vs. Redis vs. RocksDB vs. Sphinx

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonRedis  Xexclude from comparisonRocksDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionJavaScript DBMS libraryPopular in-memory data platform used as a cache, message broker, and database that can be deployed on-premises, across clouds, and hybrid environments infoRedis focuses on performance so most of its design decisions prioritize high performance and very low latencies.Embeddable persistent key-value store optimized for fast storage (flash and RAM)Open source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Relational DBMS
Key-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceKey-value storeSearch engine
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score156.44
Rank#6  Overall
#1  Key-value stores
Score4.00
Rank#84  Overall
#11  Key-value stores
Score6.03
Rank#60  Overall
#6  Search engines
Websitealasql.orgredis.com
redis.io
rocksdb.orgsphinxsearch.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.redis.com/­latest/­index.html
redis.io/­docs
github.com/­facebook/­rocksdb/­wikisphinxsearch.com/­docs
DeveloperAndrey Gershun & Mathias R. WulffRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.Facebook, Inc.Sphinx Technologies Inc.
Initial release2014200920132001
Current release7.2.4, January 20248.11.4, April 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoBSDOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Aiven for Redis: Fully managed in-memory key-value store for all your caching and speedy lookup needs.
Implementation languageJavaScriptCC++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)BSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
LinuxFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenopartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesnono
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesnoyes infowith RediSearch modulenoyes infofull-text index on all search fields
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.with RediSQL modulenoSQL-like query language (SphinxQL)
APIs and other access methodsJavaScript APIproprietary protocol infoRESP - REdis Serialization ProtocolC++ API
Java API
Proprietary protocol
Supported programming languagesJavaScriptC
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Go
Java
Perl
Python
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoLua; Redis Functions coming in Redis 7 (slides and Github)nono
Triggersyespublish/subscribe channels provide some trigger functionality; RedisGearsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardinghorizontal partitioningSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
yesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnothrough RedisGearsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic execution of command blocks and scripts and optimistic lockingyesno
Concurrency infoSupport for concurrent manipulation of datayes infoData access is serialized by the serveryesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoAccess Control Lists (ACLs): redis.io/­docs/­management/­security/­acl
LDAP and Role-Based Access Control (RBAC) for Redis Enterprise
Mutual TLS authentication: redis.io/­docs/­management/­security/­encryption
Password-based authentication
nono

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Speedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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