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DBMS > Apache Pinot vs. eXtremeDB vs. JaguarDB vs. Redis vs. Warp 10

System Properties Comparison Apache Pinot vs. eXtremeDB vs. JaguarDB vs. Redis vs. Warp 10

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisoneXtremeDB  Xexclude from comparisonJaguarDB  Xexclude from comparisonRedis  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyNatively in-memory DBMS with options for persistency, high-availability and clusteringPerformant, highly scalable DBMS for AI and IoT applicationsPopular 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.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Key-value store
Vector DBMS
Key-value store infoMultiple data types and a rich set of operations, as well as configurable data expiration, eviction and persistenceTime Series DBMS
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
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score157.80
Rank#6  Overall
#1  Key-value stores
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websitepinot.apache.orgwww.mcobject.comwww.jaguardb.comredis.com
redis.io
www.warp10.io
Technical documentationdocs.pinot.apache.orgwww.mcobject.com/­docs/­extremedb.htmwww.jaguardb.com/­support.htmldocs.redis.com/­latest/­index.html
redis.io/­docs
www.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsMcObjectDataJaguar, Inc.Redis project core team, inspired by Salvatore Sanfilippo infoDevelopment sponsored by Redis Inc.SenX
Initial release20152001201520092015
Current release1.0.0, September 20238.2, 20213.3 July 20237.2.4, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoGPL V3.0Open Source infosource-available extensions (modules), commercial licenses for Redis EnterpriseOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
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 languageJavaC and C++C++ infothe server part. Clients available in other languagesCJava
Server operating systemsAll OS with a Java JDK11 or higherAIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxBSD
Linux
OS X
Windows infoported and maintained by Microsoft Open Technologies, Inc.
Linux
OS X
Windows
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes
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.no infosupport of XML interfaces availablenonono
Secondary indexesyesyesyes infowith RediSearch moduleno
SQL infoSupport of SQLSQL-like query languageyes infowith the option: eXtremeSQLA subset of ANSI SQL is implemented infobut no views, foreign keys, triggerswith RediSQL moduleno
APIs and other access methodsJDBC.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
proprietary protocol infoRESP - REdis Serialization ProtocolHTTP API
Jupyter
WebSocket
Supported programming languagesGo
Java
Python
.Net
C
C#
C++
Java
Lua
Python
Scala
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
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
Server-side scripts infoStored proceduresyesnoLua; Redis Functions coming in Redis 7 (slides and Github)yes infoWarpScript
Triggersyes infoby defining eventsnopublish/subscribe channels provide some trigger functionality; RedisGearsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning / shardingShardingSharding infoAutomatic hash-based sharding with support for hash-tags for manual shardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationMulti-source replication infowith Redis Enterprise Pack
Source-replica replication infoChained replication is supported
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonothrough RedisGearsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual Consistency
Causal consistency can be enabled in Active-Active databases
Strong consistency with Redis Raft
Strong eventual consistency with Active-Active
Immediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of command blocks and scripts and optimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes infoData access is serialized by the serveryes
Durability infoSupport for making data persistentyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlrights management via user accountsAccess 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
Mandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
Apache PinoteXtremeDBJaguarDBRedisWarp 10
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more

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More resources
Apache PinoteXtremeDBJaguarDBRedisWarp 10
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