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DBMS > CrateDB vs. Infobright vs. jBASE vs. Microsoft Azure AI Search

System Properties Comparison CrateDB vs. Infobright vs. jBASE vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameCrateDB  Xexclude from comparisonInfobright  Xexclude from comparisonjBASE  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionDistributed Database based on LuceneHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA robust multi-value DBMS comprising development tools and middlewareSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Relational DBMSMultivalue DBMSSearch engine
Secondary database modelsRelational DBMSVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.71
Rank#227  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#10  Vector DBMS
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Websitecratedb.comignitetech.com/­softwarelibrary/­infobrightdbwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbaseazure.microsoft.com/­en-us/­services/­search
Technical documentationcratedb.com/­docsdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9learn.microsoft.com/­en-us/­azure/­search
DeveloperCrateIgnite Technologies Inc.; formerly InfoBright Inc.Rocket Software (formerly Zumasys)Microsoft
Initial release2013200519912015
Current release5.7V1
License infoCommercial or Open SourceOpen Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsAll Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportLinux
Windows
AIX
Linux
Windows
hosted
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-freeyes
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.nonoyesno
Secondary indexesyesno infoKnowledge Grid Technology used insteadyes
SQL infoSupport of SQLyes, but no triggers and constraints, and PostgreSQL compatibilityyesEmbedded SQL for jBASE in BASICno
APIs and other access methodsADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
RESTful HTTP API
Supported programming languages.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Basic
Jabbascript
Java
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresuser defined functions (Javascript)noyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable replication on table/partition-levelSource-replica replicationyesyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Read-after-write consistency on record level
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infounique row identifiers can be used for implementing an optimistic concurrency control strategyACIDACIDno
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.noyesyesno
User concepts infoAccess controlrights management via user accountsfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesAccess rights can be defined down to the item levelyes infousing Azure authentication

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More resources
CrateDBInfobrightjBASEMicrosoft Azure AI Search
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