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DBMS > Graph Engine vs. HEAVY.AI vs. Microsoft Azure Synapse Analytics vs. Percona Server for MongoDB vs. Teradata Aster

System Properties Comparison Graph Engine vs. HEAVY.AI vs. Microsoft Azure Synapse Analytics vs. Percona Server for MongoDB vs. Teradata Aster

Editorial information provided by DB-Engines
NameGraph Engine infoformer name: Trinity  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Platform for big data analytics on multistructured data sources and types
Primary database modelGraph DBMS
Key-value store
Relational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitewww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
azure.microsoft.com/­services/­synapse-analyticswww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationwww.graphengine.io/­docs/­manualdocs.heavy.aidocs.microsoft.com/­azure/­synapse-analyticsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperMicrosoftHEAVY.AI, Inc.MicrosoftPerconaTeradata
Initial release20102016201620152005
Current release5.10, January 20223.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation language.NET and CC++ and CUDAC++C++
Server operating systems.NETLinuxhostedLinuxLinux
Data schemeyesyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
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.nonononoyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesyesnoyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
ADO.NET
JDBC
ODBC
proprietary protocol using JSONADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesC#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
C#
Java
PHP
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyesnoTransact SQLJavaScriptR packages
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoRound robinSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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 storageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovia In-Memory Engineno
User concepts infoAccess controlfine grained access rights according to SQL-standardyesAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Graph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePercona Server for MongoDBTeradata Aster
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