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DBMS > EJDB vs. Hazelcast vs. Kinetica vs. Sqrrl vs. UniData,UniVerse

System Properties Comparison EJDB vs. Hazelcast vs. Kinetica vs. Sqrrl vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonHazelcast  Xexclude from comparisonKinetica  Xexclude from comparisonSqrrl  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)A widely adopted in-memory data gridFully vectorized database across both GPUs and CPUsAdaptable, secure NoSQL built on Apache AccumuloMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelDocument storeKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Multivalue DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score5.97
Rank#57  Overall
#6  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websitegithub.com/­Softmotions/­ejdbhazelcast.comwww.kinetica.comsqrrl.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdhazelcast.org/­imdg/­docsdocs.kinetica.comdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperSoftmotionsHazelcastKineticaAmazon infooriginally Sqrrl Data, Inc.Rocket Software
Initial release20122008201220121985
Current release5.3.6, November 20237.1, August 2021
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercial
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.
Implementation languageCJavaC, C++JavaC
Server operating systemsserver-lessAll OS with a Java VMLinuxLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idyesyesyesoptional
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.yes infothe object must implement a serialization strategyno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like DML and DDL statementsnoyes
APIs and other access methodsin-process shared libraryJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnoyes infoEvent Listeners, Executor Servicesuser defined functionsnoyes
Triggersnoyes infoEventsyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoReplicated MapSource-replica replicationselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoone or two-phase-commit; repeatable reads; read commitednoAtomic updates per row, document, or graph entityACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlnoRole-based access controlAccess rights for users and roles on table levelCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Access rights according to SQL-standard and operating system based

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More resources
EJDBHazelcastKineticaSqrrlUniData,UniVerse
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