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DBMS > GridGain vs. HEAVY.AI vs. IBM Db2 Event Store vs. Microsoft Access vs. Newts

System Properties Comparison GridGain vs. HEAVY.AI vs. IBM Db2 Event Store vs. Microsoft Access vs. Newts

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonNewts  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA 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 casesMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Time Series DBMS based on Cassandra
Primary database modelKey-value store
Relational DBMS
Relational DBMSEvent Store
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.gridgain.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­accessopennms.github.io/­newts
Technical documentationwww.gridgain.com/­docs/­index.htmldocs.heavy.aiwww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­accessgithub.com/­OpenNMS/­newts/­wiki
DeveloperGridGain Systems, Inc.HEAVY.AI, Inc.IBMMicrosoftOpenNMS Group
Initial release20072016201719922014
Current releaseGridGain 8.5.15.10, January 20222.01902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition availablecommercial infoBundled with Microsoft OfficeOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, C++, .NetC++ and CUDAC and C++C++Java
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsLinux
OS X
Windows
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.yesnonono
Secondary indexesyesnonoyesno
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardno
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
Thrift
Vega
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
Java API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
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
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Java
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesyes infosince Access 2010 using the ACE-engineno
Triggersyes (cache interceptors and events)nonoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoRound robinShardingnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Multi-source replicationActive-active shard replicationnoneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infobut no files for transaction loggingno
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno infoa simple user-level security was built in till version Access 2003no

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More resources
GridGainHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 Event StoreMicrosoft AccessNewts
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