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DBMS > AnzoGraph DB vs. HEAVY.AI vs. IBM Db2 Event Store

System Properties Comparison AnzoGraph DB vs. HEAVY.AI vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA 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 cases
Primary database modelGraph DBMS
RDF store
Relational DBMSEvent Store
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#302  Overall
#26  Graph DBMS
#14  RDF stores
Score1.48
Rank#146  Overall
#70  Relational DBMS
Score0.42
Rank#252  Overall
#2  Event Stores
#20  Time Series DBMS
Websitewww.cambridgesemantics.com/­anzographgithub.com/­heavyai/­heavydb
www.heavy.ai
www.ibm.com/­products/­db2-event-store
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.heavy.aiwww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.html
DeveloperCambridge SemanticsHEAVY.AI, Inc.IBM
Initial release201820162017
Current release2.3, January 20215.10, January 20222.0
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2; enterprise edition availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ and CUDAC and C++
Server operating systemsLinuxLinuxLinux infoLinux, macOS, Windows for the developer addition
Data schemeSchema-free and OWL/RDFS-schema supportyesyes
Typing infopredefined data types such as float or dateyesyes
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yesyes infothrough the embedded Spark runtime
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
Thrift
Vega
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
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
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infoRound robinSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replicationActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
AnzoGraph DBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 Event Store
Specific characteristicsOptimizes memory and compute layers to deliver unprecedented performance. Natively...
» more
Competitive advantagesOnly HEAVY.AI allows users to visually and interactively discover high-value patterns,...
» more
Typical application scenariosAdvanced analytics, geospatial and time-series analytics, accelerated data science,...
» more
Licensing and pricing modelsHEAVY.AI Free (Free Forever), Foundations ($2k/month), and Enterprise Licensure (Inquire...
» more

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AnzoGraph DBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022IBM Db2 Event Store
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