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DBMS > Graph Engine vs. HEAVY.AI vs. IBM Db2 Event Store vs. LevelDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Graph Engine vs. HEAVY.AI vs. IBM Db2 Event Store vs. LevelDB vs. Microsoft Azure Synapse Analytics

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 comparisonIBM Db2 Event Store  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
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 hardwareDistributed Event Store optimized for Internet of Things use casesEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelGraph DBMS
Key-value store
Relational DBMSEvent Store
Time Series DBMS
Key-value 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
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitewww.graphengine.iogithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2-event-storegithub.com/­google/­leveldbazure.microsoft.com/­services/­synapse-analytics
Technical documentationwww.graphengine.io/­docs/­manualdocs.heavy.aiwww.ibm.com/­docs/­en/­db2-event-storegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.microsoft.com/­azure/­synapse-analytics
DeveloperMicrosoftHEAVY.AI, Inc.IBMGoogleMicrosoft
Initial release20102016201720112016
Current release5.10, January 20222.01.23, February 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition availableOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CC++ and CUDAC and C++C++C++
Server operating systems.NETLinuxLinux infoLinux, macOS, Windows for the developer additionIllumos
Linux
OS X
Windows
hosted
Data schemeyesyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesnononoyes
SQL infoSupport of SQLnoyesyes infothrough the embedded Spark runtimenoyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
Vega
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
F#
Visual Basic
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
Java
PHP
Server-side scripts infoStored proceduresyesnoyesnoTransact SQL
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infoRound robinShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationActive-active shard replicationnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
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 storageyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardnoyes

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More resources
Graph Engine infoformer name: TrinityHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 Event StoreLevelDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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