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DBMS > Altibase vs. FatDB vs. Spark SQL vs. Typesense

System Properties Comparison Altibase vs. FatDB vs. Spark SQL vs. Typesense

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonFatDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonTypesense  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionAn enterprise grade, high-performance RDBMSA .NET NoSQL DBMS that can integrate with and extend SQL Server.Spark SQL is a component on top of 'Spark Core' for structured data processingA typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSDocument store
Key-value store
Relational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#189  Overall
#88  Relational DBMS
Score18.04
Rank#33  Overall
#20  Relational DBMS
Score0.76
Rank#219  Overall
#14  Search engines
Websitealtibase.comspark.apache.org/­sqltypesense.org
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsspark.apache.org/­docs/­latest/­sql-programming-guide.htmltypesense.org/­docs
DeveloperAltibaseFatCloudApache Software Foundation
Initial release1999201220142015
Current releasev7.3, 2023, August 20233.5.0 ( 2.13), September 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercialOpen Source infoApache 2.0Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C#ScalaC++
Server operating systemsAIX
HP-UX
Linux
WindowsLinux
OS X
Windows
Linux
Data schemeyesschema-freeyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesyesyesyes
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.nono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLANSI SQL-92no infoVia inetgration in SQL ServerSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
C#Java
Python
R
Scala
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresstored procedures and stored functionsyes infovia applicationsnono
Triggersyesyes infovia applicationsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornoneMulti-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonono
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.yesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardno infoCan implement custom security layer via applicationsno

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More resources
AltibaseFatDBSpark SQLTypesense
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