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DBMS > Kinetica vs. Memgraph vs. Sqrrl vs. TimesTen vs. Valentina Server

System Properties Comparison Kinetica vs. Memgraph vs. Sqrrl vs. TimesTen vs. Valentina Server

Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonMemgraph  Xexclude from comparisonSqrrl  Xexclude from comparisonTimesTen  Xexclude from comparisonValentina Server  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.
DescriptionFully vectorized database across both GPUs and CPUsAn open source graph database built for real-time streaming and compatible with Neo4jAdaptable, secure NoSQL built on Apache AccumuloIn-Memory RDBMS compatible to OracleObject-relational database and reports server
Primary database modelRelational DBMSGraph DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score3.02
Rank#98  Overall
#8  Graph DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.kinetica.commemgraph.comsqrrl.comwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.valentina-db.net
Technical documentationdocs.kinetica.commemgraph.com/­docsdocs.oracle.com/­database/­timesten-18.1valentina-db.com/­docs/­dokuwiki/­v5/­doku.php
Social network pagesLinkedInTwitterFacebookGitHubDiscord
DeveloperKineticaMemgraph LtdAmazon infooriginally Sqrrl Data, Inc.Oracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Paradigma Software
Initial release20122017201219981999
Current release7.1, August 202111 Release 2 (11.2.2.8.0)5.7.5
License infoCommercial or Open SourcecommercialOpen Source infoBSL 1.1; commercial license for enterprise edition 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 languageC, C++C and C++Java
Server operating systemsLinuxLinuxLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeyesschema-free and schema-optionalschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyesyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
Bolt protocol
Cypher query language
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ODBC
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Elixir
Go
Haskell
Java
JavaScript
PHP
Python
Ruby
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C++
Java
PL/SQL
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsnoPL/SQLyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infodynamic graph partitioningSharding infomaking use of Hadoopnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTselectable replication factor infomaking use of HadoopMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes inforelationships in graphsnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infowith snapshot isolationAtomic updates per row, document, or graph entityACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyes infowith periodic snapshot and write-ahead logging (WAL) of changesyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMyesyesyes
User concepts infoAccess controlAccess rights for users and roles on table levelUsers, roles and permissionsCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
KineticaMemgraphSqrrlTimesTenValentina Server
Specific characteristicsMemgraph directly connects to your streaming infrastructure so you and your team...
» more
Competitive advantagesBusiness Source License ensures a future for the Memgraph community MAGE algorithm...
» more
Typical application scenariosGraph algorithms in bioinformatics Social network analysis Cryptocurrency network...
» more
Licensing and pricing modelsYou can check out our pricing model and licenses on the company website .
» more

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More resources
KineticaMemgraphSqrrlTimesTenValentina Server
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