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DBMS > Ignite vs. Quasardb vs. Ultipa vs. Vitess

System Properties Comparison Ignite vs. Quasardb vs. Ultipa vs. Vitess

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonQuasardb  Xexclude from comparisonUltipa  Xexclude from comparisonVitess  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.Distributed, high-performance timeseries databaseHigh performance Graph DBMS supporting HTAP high availability cluster deploymentScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelKey-value store
Relational DBMS
Time Series DBMSGraph 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
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score0.19
Rank#330  Overall
#30  Graph DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteignite.apache.orgquasar.aiwww.ultipa.comvitess.io
Technical documentationapacheignite.readme.io/­docsdoc.quasar.ai/­masterwww.ultipa.com/­documentvitess.io/­docs
DeveloperApache Software FoundationquasardbUltipaThe Linux Foundation, PlanetScale
Initial release2015200920192013
Current releaseApache Ignite 2.63.14.1, January 202415.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensescommercialOpen Source infoApache Version 2.0, commercial licenses 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.
Implementation languageC++, Java, .NetC++Go
Server operating systemsLinux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Docker
Linux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes
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.yesno
Secondary indexesyesyes infowith tagsyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLSQL-like query languageyes infowith proprietary extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP APIRESTful HTTP APIADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Go
Java
JavaScript (Node.js)
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyes infoproprietary syntax
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replication with selectable replication factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)with Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoTransient modeyes
User concepts infoAccess controlSecurity Hooks for custom implementationsCryptographically strong user authentication and audit trailUsers with fine-grained authorization concept infono user groups or roles

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More resources
IgniteQuasardbUltipaVitess
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