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DBMS > AnzoGraph DB vs. Geode vs. HarperDB vs. IBM Db2 Event Store

System Properties Comparison AnzoGraph DB vs. Geode vs. HarperDB vs. IBM Db2 Event Store

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGeode  Xexclude from comparisonHarperDB  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 virtualizationGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Distributed Event Store optimized for Internet of Things use cases
Primary database modelGraph DBMS
RDF store
Key-value storeDocument storeEvent Store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Websitecambridgesemantics.com/­anzographgeode.apache.orgwww.harperdb.iowww.ibm.com/­products/­db2-event-store
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgeode.apache.org/­docsdocs.harperdb.io/­docswww.ibm.com/­docs/­en/­db2-event-store
DeveloperCambridge SemanticsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.HarperDBIBM
Initial release2018200220172017
Current release2.3, January 20211.1, February 20173.1, August 20212.0
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercial infofree community edition availablecommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaNode.jsC and C++
Server operating systemsLinuxAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Linux infoLinux, macOS, Windows for the developer addition
Data schemeSchema-free and OWL/RDFS-schema supportschema-freedynamic schemayes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyes
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 indexesnonoyesno
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like query language (OQL)SQL-like data manipulation statementsyes infothrough the embedded Spark runtime
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Java Client API
Memcached protocol
RESTful HTTP API
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
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 aggregatesuser defined functionsCustom Functions infosince release 3.1yes
Triggersnoyes infoCache Event Listenersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingA table resides as a whole on one (or more) nodes in a clusterSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replicationyes infothe nodes on which a table resides can be definedActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes, on a single nodeAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutable
Durability infoSupport for making data persistentyesyesyes, using LMDBYes - 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.yesyesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights per client and object definableAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBGeodeHarperDBIBM Db2 Event Store
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