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DBMS > AnzoGraph DB vs. IBM Db2 Event Store vs. Oracle Berkeley DB vs. OrigoDB

System Properties Comparison AnzoGraph DB vs. IBM Db2 Event Store vs. Oracle Berkeley DB vs. OrigoDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDistributed Event Store optimized for Internet of Things use casesWidely used in-process key-value storeA fully ACID in-memory object graph database
Primary database modelGraph DBMS
RDF store
Event Store
Time Series DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Document store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.21
Rank#117  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.00
Rank#383  Overall
#53  Document stores
#20  Object oriented DBMS
Websitecambridgesemantics.com/­anzographwww.ibm.com/­products/­db2-event-storewww.oracle.com/­database/­technologies/­related/­berkeleydb.htmlorigodb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmwww.ibm.com/­docs/­en/­db2-event-storedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlorigodb.com/­docs
DeveloperCambridge SemanticsIBMOracle infooriginally developed by Sleepycat, which was acquired by OracleRobert Friberg et al
Initial release2018201719942009 infounder the name LiveDB
Current release2.3, January 20212.018.1.40, May 2020
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infofree developer edition availableOpen Source infocommercial license availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C, Java, C++ (depending on the Berkeley DB edition)C#
Server operating systemsLinuxLinux infoLinux, macOS, Windows for the developer additionAIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoUser defined using .NET types and collections
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.nonoyes infoonly with the Berkeley DB XML editionno infocan be achieved using .NET
Secondary indexesnonoyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes infothrough the embedded Spark runtimeyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
Supported programming languagesC++
Java
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesnoyes
Triggersnonoyes infoonly for the SQL APIyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnonehorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterActive-active shard replicationSource-replica replicationSource-replica 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 Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnonodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes infoWrite ahead log
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 rolesfine grained access rights according to SQL-standardnoRole based authorization

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More resources
AnzoGraph DBIBM Db2 Event StoreOracle Berkeley DBOrigoDB
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