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DBMS > Hazelcast vs. Kinetica vs. OushuDB vs. Sqrrl vs. STSdb

System Properties Comparison Hazelcast vs. Kinetica vs. OushuDB vs. Sqrrl vs. STSdb

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonKinetica  Xexclude from comparisonOushuDB  Xexclude from comparisonSqrrl  Xexclude from comparisonSTSdb  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.
DescriptionA widely adopted in-memory data gridFully vectorized database across both GPUs and CPUsA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningAdaptable, secure NoSQL built on Apache AccumuloKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeRelational DBMSRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value store
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
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score0.10
Rank#357  Overall
#51  Key-value stores
Websitehazelcast.comwww.kinetica.comwww.oushu.com/­product/­oushuDBsqrrl.comgithub.com/­STSSoft/­STSdb4
Technical documentationhazelcast.org/­imdg/­docsdocs.kinetica.comwww.oushu.com/­documentation
DeveloperHazelcastKineticaOushuAmazon infooriginally Sqrrl Data, Inc.STS Soft SC
Initial release2008201220122011
Current release5.3.6, November 20237.1, August 20214.0.1, August 20204.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++JavaC#
Server operating systemsAll OS with a Java VMLinuxLinuxLinuxWindows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesyesyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsFull-featured ANSI SQL supportnono
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
.NET Client API
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C++
Java
JavaScript (Node.js)
Python
C
C++
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C#
Java
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesuser defined functionsyesnono
Triggersyes infoEventsyes infotriggers when inserted values for one or more columns fall within a specified rangeyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyesSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapSource-replica replicationselectable replication factor infomaking use of Hadoopnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoHadoop integrationyesno
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 integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitednoACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 controlRole-based access controlAccess rights for users and roles on table levelKerberos, SSL and role based accessCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)no

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More resources
HazelcastKineticaOushuDBSqrrlSTSdb
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