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DBMS > InfinityDB vs. Kinetica vs. SAP SQL Anywhere vs. Solr

System Properties Comparison InfinityDB vs. Kinetica vs. SAP SQL Anywhere vs. Solr

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Editorial information provided by DB-Engines
NameInfinityDB  Xexclude from comparisonKinetica  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparisonSolr  Xexclude from comparison
DescriptionA Java embedded Key-Value Store which extends the Java Map interfaceFully vectorized database across both GPUs and CPUsRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environmentsA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelKey-value storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
Time Series DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#378  Overall
#57  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websiteboilerbay.comwww.kinetica.comwww.sap.com/­products/­technology-platform/­sql-anywhere.htmlsolr.apache.org
Technical documentationboilerbay.com/­infinitydb/­manualdocs.kinetica.comhelp.sap.com/­docs/­SAP_SQL_Anywheresolr.apache.org/­resources.html
DeveloperBoiler Bay Inc.KineticaSAP infoformerly SybaseApache Software Foundation
Initial release2002201219922006
Current release4.07.1, August 202117, July 20159.6.0, April 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++Java
Server operating systemsAll OS with a Java VMLinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesyesyes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyesyes infosupports customizable data types and automatic typing
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.nonoyesyes
Secondary indexesno infomanual creation possible, using inversions based on multi-value capabilityyesyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesSolr Parallel SQL Interface
APIs and other access methodsAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
RESTful HTTP API
ADO.NET
HTTP API
JDBC
ODBC
Java API
RESTful HTTP/JSON API
Supported programming languagesJavaC++
Java
JavaScript (Node.js)
Python
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes, in C/C++, Java, .Net or PerlJava plugins
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replication infoDatabase mirroringyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infomanual creation possible, using inversions based on multi-value capabilityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyesyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standardyes

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More resources
InfinityDBKineticaSAP SQL Anywhere infoformerly called Adaptive Server AnywhereSolr
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