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DBMS > Ingres vs. Kinetica vs. Riak KV vs. Sadas Engine vs. WakandaDB

System Properties Comparison Ingres vs. Kinetica vs. Riak KV vs. Sadas Engine vs. WakandaDB

Editorial information provided by DB-Engines
NameIngres  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparisonSadas Engine  Xexclude from comparisonWakandaDB  Xexclude from comparison
DescriptionWell established RDBMSFully vectorized database across both GPUs and CPUsDistributed, fault tolerant key-value storeSADAS Engine is a columnar DBMS specifically designed for high performance in data warehouse environmentsWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMSObject oriented DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.11
Rank#81  Overall
#44  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#158  Relational DBMS
Score0.03
Rank#364  Overall
#17  Object oriented DBMS
Websitewww.actian.com/­databases/­ingreswww.kinetica.comwww.sadasengine.comwakanda.github.io
Technical documentationdocs.actian.com/­ingresdocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latestwww.sadasengine.com/­en/­sadas-engine-download-free-trial-and-documentation/­#documentationwakanda.github.io/­doc
DeveloperActian CorporationKineticaOpenSource, formerly Basho TechnologiesSADAS s.r.l.Wakanda SAS
Initial release1974 infooriginally developed at University Berkely in early 1970s2012200920062012
Current release11.2, May 20227.1, August 20213.2.0, December 20228.02.7.0 (April 29, 2019), April 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache version 2, commercial enterprise editioncommercial infofree trial version availableOpen Source infoAGPLv3, extended commercial license available
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 languageCC, C++ErlangC++C++, JavaScript
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
LinuxLinux
OS X
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.no infobut tools for importing/exporting data from/to XML-files availablenononono
Secondary indexesyesyesrestrictedyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsnoyesno
APIs and other access methods.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
.Net
C
C#
C++
Groovy
Java
PHP
Python
JavaScript
Server-side scripts infoStored proceduresyesuser defined functionsErlangnoyes
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooksnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoIngres Star to access multiple databases simultaneouslyShardingSharding infono "single point of failure"horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesIngres ReplicatorSource-replica replicationselectable replication factornonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayes infoMVCCyesyesyesyes
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.noyes infoGPU vRAM or System RAMyes infomanaged by 'Learn by Usage'no
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes, using Riak SecurityAccess rights for users, groups and roles according to SQL-standardyes

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More resources
IngresKineticaRiak KVSadas EngineWakandaDB
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