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DBMS > Ignite vs. KeyDB vs. Postgres-XL vs. SQream DB

System Properties Comparison Ignite vs. KeyDB vs. Postgres-XL vs. SQream DB

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonKeyDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.74
Rank#224  Overall
#103  Relational DBMS
Websiteignite.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.postgres-xl.orgsqream.com
Technical documentationapacheignite.readme.io/­docsdocs.keydb.devwww.postgres-xl.org/­documentationdocs.sqream.com
DeveloperApache Software FoundationEQ Alpha Technology Ltd.SQream Technologies
Initial release201520192014 infosince 2012, originally named StormDB2017
Current releaseApache Ignite 2.610 R1, October 20182022.1.6, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD-3Open Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC++CC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
macOS
Linux
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyesyes, ANSI Standard SQL Types
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.yesnoyes infoXML type, but no XML query functionality
Secondary indexesyesyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes infodistributed, parallel query executionyes
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol infoRESP - REdis Serialization ProtocoADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.Net
JDBC
ODBC
Supported programming languagesC#
C++
Java
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
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)Luauser defined functionsuser defined functions in Python
Triggersyes (cache interceptors and events)noyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioninghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.yesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationssimple password-based access control and ACLfine grained access rights according to SQL-standard

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More resources
IgniteKeyDBPostgres-XLSQream DB
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