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DBMS > HBase vs. Ingres vs. Microsoft SQL Server vs. XTDB

System Properties Comparison HBase vs. Ingres vs. Microsoft SQL Server vs. XTDB

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Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonIngres  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableWell established RDBMSMicrosofts flagship relational DBMSA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelWide column storeRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score3.80
Rank#82  Overall
#44  Relational DBMS
Score821.56
Rank#3  Overall
#3  Relational DBMS
Score0.18
Rank#332  Overall
#46  Document stores
Websitehbase.apache.orgwww.actian.com/­databases/­ingreswww.microsoft.com/­en-us/­sql-servergithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationhbase.apache.org/­book.htmldocs.actian.com/­ingreslearn.microsoft.com/­en-US/­sql/­sql-serverwww.xtdb.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetActian CorporationMicrosoftJuxt Ltd.
Initial release20081974 infooriginally developed at University Berkely in early 1970s19892019
Current release2.3.4, January 202111.2, May 2022SQL Server 2022, November 20221.19, September 2021
License infoCommercial or Open SourceOpen Source infoApache version 2commercialcommercial inforestricted free version is availableOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++Clojure
Server operating systemsLinux
Unix
Windows infousing Cygwin
AIX
HP Open VMS
HP-UX
Linux
Solaris
Windows
Linux
Windows
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-free, schema definition possibleyesyesschema-free
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes, extensible-data-notation format
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 infobut tools for importing/exporting data from/to XML-files availableyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyeslimited SQL, making use of Apache Calcite
APIs and other access methodsJava API
RESTful HTTP API
Thrift
.NET Client API
JDBC
ODBC
proprietary protocol (OpenAPI)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
HTTP REST
JDBC
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Clojure
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in JavayesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Javano
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning infoIngres Star to access multiple databases simultaneouslytables can be distributed across several files (horizontal partitioning); sharding through federationnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Ingres Replicatoryes, but depending on the SQL-Server Editionyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
HBaseIngresMicrosoft SQL ServerXTDB infoformerly named Crux
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