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DBMS > HBase vs. Interbase vs. SiteWhere vs. Solr vs. TigerGraph

System Properties Comparison HBase vs. Interbase vs. SiteWhere vs. Solr vs. TigerGraph

Editorial information provided by DB-Engines
NameHBase  Xexclude from comparisonInterbase  Xexclude from comparisonSiteWhere  Xexclude from comparisonSolr  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionWide-column store based on Apache Hadoop and on concepts of BigTableLight-weight proven RDBMS infooriginally from BorlandM2M integration platform for persisting/querying time series dataA widely used distributed, scalable search engine based on Apache LuceneA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelWide column storeRelational DBMSTime Series DBMSSearch engineGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score27.97
Rank#26  Overall
#2  Wide column stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websitehbase.apache.orgwww.embarcadero.com/­products/­interbasegithub.com/­sitewhere/­sitewheresolr.apache.orgwww.tigergraph.com
Technical documentationhbase.apache.org/­book.htmldocs.embarcadero.com/­products/­interbasesitewhere1.sitewhere.io/­index.htmlsolr.apache.org/­resources.htmldocs.tigergraph.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by PowersetEmbarcaderoSiteWhereApache Software Foundation
Initial release20081984201020062017
Current release2.3.4, January 2021InterBase 2020, December 20199.6.1, May 2024
License infoCommercial or Open SourceOpen Source infoApache version 2commercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaJavaC++
Server operating systemsLinux
Unix
Windows infousing Cygwin
Android
iOS
Linux
OS X
Windows
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeschema-free, schema definition possibleyespredefined schemeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateoptions to bring your own types, AVROyesyesyes infosupports customizable data types and automatic typingyes
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 infoexport as XML data possiblenoyesno
Secondary indexesnoyesnoyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnoyesnoSolr Parallel SQL InterfaceSQL-like query language (GSQL)
APIs and other access methodsJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
HTTP RESTJava API
RESTful HTTP/JSON API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresyes infoCoprocessors in Javayes infoInterbase procedure and trigger languageJava pluginsyes
Triggersyesyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Interbase Change Viewsselectable replication factor infobased on HBaseyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataSingle row ACID (across millions of columns)ACIDnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMultiversion concurreny controlyesyesyes
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.yesyesnoyesno
User concepts infoAccess controlAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptyesRole-based access control

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More resources
HBaseInterbaseSiteWhereSolrTigerGraph
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