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DBMS > Microsoft Azure Table Storage vs. Prometheus vs. Splice Machine vs. TinkerGraph

System Properties Comparison Microsoft Azure Table Storage vs. Prometheus vs. Splice Machine vs. TinkerGraph

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Editorial information provided by DB-Engines
NameMicrosoft Azure Table Storage  Xexclude from comparisonPrometheus  Xexclude from comparisonSplice Machine  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionA Wide Column Store for rapid development using massive semi-structured datasetsOpen-source Time Series DBMS and monitoring systemOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelWide column storeTime Series DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.04
Rank#77  Overall
#6  Wide column stores
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.13
Rank#345  Overall
#35  Graph DBMS
Websiteazure.microsoft.com/­en-us/­services/­storage/­tablesprometheus.iosplicemachine.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationprometheus.io/­docssplicemachine.com/­how-it-works
DeveloperMicrosoftSplice Machine
Initial release2012201520142009
Current release3.1, March 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoAGPL 3.0, commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaJava
Server operating systemshostedLinux
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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 infoImport of XML data possibleno
Secondary indexesnonoyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsRESTful HTTP APIRESTful HTTP/JSON APIJDBC
Native Spark Datasource
ODBC
TinkerPop 3
Supported programming languages.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Groovy
Java
Server-side scripts infoStored proceduresnonoyes infoJavano
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceShardingShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes infoby FederationMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistencynone
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataoptimistic lockingnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)no
Durability infoSupport for making data persistentyesyesyesoptional
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 private key authentication or shared access signaturesnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
Microsoft Azure Table StoragePrometheusSplice MachineTinkerGraph
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