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DBMS > Altibase vs. HugeGraph vs. Solr vs. Teradata vs. TimesTen

System Properties Comparison Altibase vs. HugeGraph vs. Solr vs. Teradata vs. TimesTen

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonHugeGraph  Xexclude from comparisonSolr  Xexclude from comparisonTeradata  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSA fast-speed and highly-scalable Graph DBMSA widely used distributed, scalable search engine based on Apache LuceneA hybrid cloud data analytics software platform (Teradata Vantage)In-Memory RDBMS compatible to Oracle
Primary database modelRelational DBMSGraph DBMSSearch engineRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score45.33
Rank#21  Overall
#15  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitealtibase.comgithub.com/­hugegraph
hugegraph.apache.org
solr.apache.orgwww.teradata.comwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualshugegraph.apache.org/­docssolr.apache.org/­resources.htmldocs.teradata.comdocs.oracle.com/­database/­timesten-18.1
DeveloperAltibaseBaiduApache Software FoundationTeradataOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release19992018200619841998
Current releasev7.3, 2023, August 20230.99.6.0, April 2024Teradata Vantage 1.0 MU2, January 201911 Release 2 (11.2.2.8.0)
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open Source infoApache Version 2.0Open Source infoApache Version 2commercialcommercial
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 languageC++JavaJava
Server operating systemsAIX
HP-UX
Linux
Linux
macOS
Unix
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)hosted
Linux
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesyesyes infoDynamic Fields enables on-the-fly addition of new fieldsyesyes
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingyesyes
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.nonoyesyesno
Secondary indexesyesyes infoalso supports composite index and range indexyes infoAll search fields are automatically indexedyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLANSI SQL-92noSolr Parallel SQL Interfaceyes infoSQL 2016 + extensionsyes
APIs and other access methodsJDBC
ODBC
Proprietary protocol
Java API
RESTful HTTP API
TinkerPop Gremlin
Java API
RESTful HTTP/JSON API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC
C++
Java
Groovy
Java
Python
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
C
C++
Java
PL/SQL
Server-side scripts infoStored proceduresstored procedures and stored functionsasynchronous Gremlin script jobsJava pluginsyes infoUDFs, stored procedures, table functions in parallelPL/SQL
Triggersyesnoyes infoUser configurable commands triggered on index changesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoHashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infodepending on used storage backend, e.g. Cassandra and HBaseyesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparkspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesyes infoedges in graphnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDoptimistic lockingACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers, roles and permissionsyesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
AltibaseHugeGraphSolrTeradataTimesTen
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