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DBMS > Apache Pinot vs. Graph Engine vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. TinkerGraph

System Properties Comparison Apache Pinot vs. Graph Engine vs. Lovefield vs. Microsoft Azure Synapse Analytics vs. TinkerGraph

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonTinkerGraph  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEmbeddable relational database for web apps written in pure JavaScriptElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSRelational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitepinot.apache.orgwww.graphengine.iogoogle.github.io/­lovefieldazure.microsoft.com/­services/­synapse-analyticstinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationdocs.pinot.apache.orgwww.graphengine.io/­docs/­manualgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­azure/­synapse-analytics
DeveloperApache Software Foundation and contributorsMicrosoftGoogleMicrosoft
Initial release20152010201420162009
Current release1.0.0, September 20232.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoMIT LicenseOpen Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and CJavaScriptC++Java
Server operating systemsAll OS with a Java JDK11 or higher.NETserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeyesyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesno
SQL infoSupport of SQLSQL-like query languagenoSQL-like query language infovia JavaScript builder patternyesno
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
ODBC
TinkerPop 3
Supported programming languagesGo
Java
Python
C#
C++
F#
Visual Basic
JavaScriptC#
Java
PHP
Groovy
Java
Server-side scripts infoStored proceduresyesnoTransact SQLno
TriggersnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioningnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencynone
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing MemoryDByes
User concepts infoAccess controlnoyesno

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More resources
Apache PinotGraph Engine infoformer name: TrinityLovefieldMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseTinkerGraph
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