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DBMS > Alibaba Cloud TSDB vs. Hive vs. Ignite vs. RDFox vs. Splice Machine

System Properties Comparison Alibaba Cloud TSDB vs. Hive vs. Ignite vs. RDFox vs. Splice Machine

Editorial information provided by DB-Engines
NameAlibaba Cloud TSDB  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonRDFox  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA stable, reliable, and cost-effective online high-performance time series database servicedata warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.High performance knowledge graph and semantic reasoning engineOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelTime Series DBMSRelational DBMSKey-value store
Relational DBMS
Graph DBMS
RDF store
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#306  Overall
#26  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitewww.alibabacloud.com/­product/­hitsdbhive.apache.orgignite.apache.orgwww.oxfordsemantic.techsplicemachine.com
Technical documentationwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsdocs.oxfordsemantic.techsplicemachine.com/­how-it-works
DeveloperAlibabaApache Software Foundation infoinitially developed by FacebookApache Software FoundationOxford Semantic TechnologiesSplice Machine
Initial release2012201520172014
Current release3.1.3, April 2022Apache Ignite 2.66.0, Septermber 20223.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetC++Java
Server operating systemshostedAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateNumeric data and Stringsyesyesyesyes
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.noyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLnoyes
APIs and other access methodsHTTP RESTJDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
RESTful HTTP API
SPARQL 1.1
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaC++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)yes infoJava
Triggersnonoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes (replicated cache)replication via a shared file systemMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)Yes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyesyes
User concepts infoAccess controlAccess managed on TSDB instance levelAccess rights for users, groups and rolesSecurity Hooks for custom implementationsRoles, resources, and access typesAccess rights for users, groups and roles according to SQL-standard

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More resources
Alibaba Cloud TSDBHiveIgniteRDFoxSplice Machine
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