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DBMS > Alibaba Cloud Table Store vs. HarperDB vs. Infobright vs. JanusGraph vs. Splice Machine

System Properties Comparison Alibaba Cloud Table Store vs. HarperDB vs. Infobright vs. JanusGraph vs. Splice Machine

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonHarperDB  Xexclude from comparisonInfobright  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.High performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelWide column storeDocument storeRelational DBMSGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#297  Overall
#11  Wide column stores
Score0.60
Rank#244  Overall
#38  Document stores
Score1.02
Rank#192  Overall
#90  Relational DBMS
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.alibabacloud.com/­product/­table-storewww.harperdb.ioignitetech.com/­softwarelibrary/­infobrightdbjanusgraph.orgsplicemachine.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredocs.harperdb.io/­docsdocs.janusgraph.orgsplicemachine.com/­how-it-works
DeveloperAlibabaHarperDBIgnite Technologies Inc.; formerly InfoBright Inc.Linux Foundation; originally developed as Titan by AureliusSplice Machine
Initial release20162017200520172014
Current release3.1, August 20210.6.3, February 20233.1, March 2021
License infoCommercial or Open Sourcecommercialcommercial infofree community edition availablecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoApache 2.0Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageNode.jsCJavaJava
Server operating systemshostedLinux
OS X
Linux
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freedynamic schemayesyesyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyesyes
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.nononono
Secondary indexesnoyesno infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesnoyes
APIs and other access methodsHTTP APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Clojure
Java
Python
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoCustom Functions infosince release 3.1noyesyes infoJava
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceA table resides as a whole on one (or more) nodes in a clusternoneyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Shared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceyes infothe nodes on which a table resides can be definedSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Faunus, a graph analytics engineYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic execution of specific operationsACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyes, using LMDByesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and rolesfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesUser authentification and security via Rexster Graph ServerAccess rights for users, groups and roles according to SQL-standard

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More resources
Alibaba Cloud Table StoreHarperDBInfobrightJanusGraph infosuccessor of TitanSplice Machine
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