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DBMS > Drizzle vs. FatDB vs. InfinityDB vs. Kinetica vs. searchxml

System Properties Comparison Drizzle vs. FatDB vs. InfinityDB vs. Kinetica vs. searchxml

Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonFatDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonKinetica  Xexclude from comparisonsearchxml  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A .NET NoSQL DBMS that can integrate with and extend SQL Server.A Java embedded Key-Value Store which extends the Java Map interfaceFully vectorized database across both GPUs and CPUsDBMS for structured and unstructured content wrapped with an application server
Primary database modelRelational DBMSDocument store
Key-value store
Key-value storeRelational DBMSNative XML DBMS
Search engine
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#365  Overall
#55  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteboilerbay.comwww.kinetica.comwww.searchxml.net/­category/­products
Technical documentationboilerbay.com/­infinitydb/­manualdocs.kinetica.comwww.searchxml.net/­support/­handouts
DeveloperDrizzle project, originally started by Brian AkerFatCloudBoiler Bay Inc.Kineticainformationpartners gmbh
Initial release20082012200220122015
Current release7.2.4, September 20124.07.1, August 20211.0
License infoCommercial or Open SourceOpen Source infoGNU GPLcommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C#JavaC, C++C++
Server operating systemsFreeBSD
Linux
OS X
WindowsAll OS with a Java VMLinuxWindows
Data schemeyesschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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.nonoyes
Secondary indexesyesyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsno infoVia inetgration in SQL ServernoSQL-like DML and DDL statementsno
APIs and other access methodsJDBC.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
RESTful HTTP API
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesC
C++
Java
PHP
C#JavaC++
Java
JavaScript (Node.js)
Python
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoyes infovia applicationsnouser defined functionsyes infoon the application server
Triggersno infohooks for callbacks inside the server can be used.yes infovia applicationsnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factornoneSource-replica replicationyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesnono infomanual creation possible, using inversions based on multi-value capabilityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoOptimistic locking for transactions; no isolation for bulk loadsnomultiple readers, single writer
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.noyes infoGPU vRAM or System RAMno
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPno infoCan implement custom security layer via applicationsnoAccess rights for users and roles on table levelDomain, group and role-based access control at the document level and for application services

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More resources
DrizzleFatDBInfinityDBKineticasearchxml
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