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DBMS > Alibaba Cloud Table Store vs. Cloudflare Workers KV vs. Infobright vs. JanusGraph vs. Splice Machine

System Properties Comparison Alibaba Cloud Table Store vs. Cloudflare Workers KV vs. Infobright vs. JanusGraph vs. Splice Machine

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonCloudflare Workers KV  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 accessA global, low-latency, key-value store for applications on Cloudflare with exceptionally high read volumes and low-latency.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 storeKey-value 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
Score0.39
Rank#274  Overall
#39  Key-value 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.cloudflare.com/­developer-platform/­workers-kvignitetech.com/­softwarelibrary/­infobrightdbjanusgraph.orgsplicemachine.com
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoredevelopers.cloudflare.com/­kv/­apidocs.janusgraph.orgsplicemachine.com/­how-it-works
DeveloperAlibabaCloudflareIgnite Technologies Inc.; formerly InfoBright Inc.Linux Foundation; originally developed as Titan by AureliusSplice Machine
Initial release20162018200520172014
Current release0.6.3, February 20233.1, March 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial 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 serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaJava
Server operating systemshostedhostedLinux
Windows
Linux
OS X
Unix
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesnonono infoKnowledge Grid Technology used insteadyesyes
SQL infoSupport of SQLnonoyesnoyes
APIs and other access methodsHTTP APIHTTP REST
Proprietary protocol
ADO.NET
JDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJava
Python
C
C++
Dart
JavaScript
Kotlin
Python
Rust
Scala
.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 proceduresnononoyesyes infoJava
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneyes 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 serviceyesSource-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 ConsistencyEventual 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 operationsnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyesyes 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.nonoyesyes
User concepts infoAccess controlAccess rights based on subaccounts and tokensfine 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 StoreCloudflare Workers KVInfobrightJanusGraph infosuccessor of TitanSplice Machine
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