DB-EnginesextremeDB - solve IoT connectivity disruptionsEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by Redgate Software

DBMS > Redis vs. Rockset vs. searchxml

System Properties Comparison Redis vs. Rockset vs. searchxml

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameRedis  Xexclude from comparisonRockset  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionPopular 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.A scalable, reliable search and analytics service in the cloud, built on RocksDBDBMS for structured and unstructured content wrapped with an application server
Primary database modelKey-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceDocument storeNative XML DBMS
Search engine
Secondary database modelsDocument store infowith RedisJSON
Graph DBMS infowith RedisGraph
Spatial DBMS
Search engine infowith RediSearch
Time Series DBMS infowith RedisTimeSeries
Vector DBMS
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score152.19
Rank#7  Overall
#1  Key-value stores
Score0.88
Rank#200  Overall
#34  Document stores
Score0.00
Rank#385  Overall
#7  Native XML DBMS
#24  Search engines
Websiteredis.com
redis.io
rockset.comwww.searchxml.net/­category/­products
Technical documentationdocs.redis.com/­latest/­index.html
redis.io/­docs
docs.rockset.comwww.searchxml.net/­support/­handouts
DeveloperRedis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.Rocksetinformationpartners gmbh
Initial release200920192015
Current release7.2.5, May 20241.0
License infoCommercial or Open SourceOpen Source infosource-available extensions (modules), commercial licenses for Redis Enterprisecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C++
Server operating systemsBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
hostedWindows
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or datepartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesdynamic typingyes
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.nono infoingestion from XML files supportedyes
Secondary indexesyes infowith RediSearch moduleall fields are automatically indexedyes
SQL infoSupport of SQLwith RediSQL moduleRead-only SQL queries, including JOINsno
APIs and other access methodsproprietary protocol infoRESP - REdis Serialization ProtocolHTTP RESTRESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
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
Go
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresLua; Redis Functions coming in Redis 7 (slides and Github)noyes infoon the application server
Triggerspublish/subscribe channels provide some trigger functionality; RedisGearsnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
yesyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsthrough RedisGearsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of command blocks and scripts and optimistic lockingnomultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayes infoData access is serialized by the serveryesyes
Durability infoSupport for making data persistentyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess 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
Access rights for users and organizations can be defined via Rockset consoleDomain, group and role-based access control at the document level and for application services

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
RedisRocksetsearchxml
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

MySQL, PostgreSQL and Redis are the winners of the March ranking
2 March 2016, Paul Andlinger

MongoDB is the DBMS of the year, defending the title from last year
7 January 2015, Paul Andlinger, Matthias Gelbmann

show all

Recent citations in the news

Database Management System Market Projected to Reach USD
5 May 2025, GlobeNewswire

Best of 2024: Valkey is Rapidly Overtaking Redis
23 December 2024, DevOps.com

Vector search is the new black for enterprise databases
24 April 2025, theregister.com

Accelerate Machine Learning Model Serving with FastAPI and Redis Caching
23 April 2025, KDnuggets

Integrate your Spring Boot application with Amazon ElastiCache
16 April 2025, Amazon Web Services (AWS)

provided by Google News

OpenAI’s first acquisition is an enterprise data startup
21 June 2024, The Verge

OpenAI buys database analytics firm Rockset in nine-figure stock deal, sources say
21 June 2024, Reuters

OpenAI Acquires Rockset and Highlights Where Generative AI is Headed Next
22 June 2024, Synthedia

An Analysis Of OpenAI’s Acquisition Of Rockset And Its Strategic Significance
24 June 2024, Forbes

OpenAI Acquires Rockset
21 June 2024, OpenAI

provided by Google News



Share this page

Featured Products

SingleStore logo

The data platform to build your intelligent applications.
Try it free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Present your product here