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DBMS > AnzoGraph DB vs. Faircom DB vs. Hive vs. IBM Db2 Event Store vs. Percona Server for MongoDB

System Properties Comparison AnzoGraph DB vs. Faircom DB vs. Hive vs. IBM Db2 Event Store vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonFaircom DB infoformerly c-treeACE  Xexclude from comparisonHive  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationNative high-speed multi-model DBMS for relational and key-value store data simultaneously accessible through SQL and NoSQL APIs.data warehouse software for querying and managing large distributed datasets, built on HadoopDistributed Event Store optimized for Internet of Things use casesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Relational DBMSEvent Store
Time Series DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.29
Rank#304  Overall
#43  Key-value stores
#136  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.60
Rank#246  Overall
#39  Document stores
Websitecambridgesemantics.com/­anzographwww.faircom.com/­products/­faircom-dbhive.apache.orgwww.ibm.com/­products/­db2-event-storewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.faircom.com/­docs/­en/­UUID-7446ae34-a1a7-c843-c894-d5322e395184.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homewww.ibm.com/­docs/­en/­db2-event-storedocs.percona.com/­percona-distribution-for-mongodb
DeveloperCambridge SemanticsFairCom CorporationApache Software Foundation infoinitially developed by FacebookIBMPercona
Initial release20181979201220172015
Current release2.3, January 2021V12, November 20203.1.3, April 20222.03.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercial infoRestricted, free version availableOpen Source infoApache Version 2commercial infofree developer edition availableOpen Source infoGPL Version 2
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 languageANSI C, C++JavaC and C++C++
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
NetBSD
OS X
QNX
SCO
Solaris
VxWorks
Windows infoeasily portable to other OSs
All OS with a Java VMLinux infoLinux, macOS, Windows for the developer additionLinux
Data schemeSchema-free and OWL/RDFS-schema supportschema free, schema optional, schema required, partial schema,yesyesschema-free
Typing infopredefined data types such as float or dateyes, ANSI SQL Types, JSON, typed binary structuresyesyesyes
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 indexesnoyesyesnoyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.yes, ANSI SQL with proprietary extensionsSQL-like DML and DDL statementsyes infothrough the embedded Spark runtimeno
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
ADO.NET
Direct SQL
JDBC
JPA
ODBC
RESTful HTTP/JSON API
RESTful MQTT/JSON API
RPC
JDBC
ODBC
Thrift
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC++
Java
Python
.Net
C
C#
C++
Java
JavaScript (Node.js and browser)
PHP
Python
Visual Basic
C++
Java
PHP
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes info.Net, JavaScript, C/C++yes infouser defined functions and integration of map-reduceyesJavaScript
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingFile partitioning, horizontal partitioning, sharding infoCustomizable business rules for table partitioningShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes, configurable to be parallel or serial, synchronous or asynchronous, uni-directional or bi-directional, ACID-consistent or eventually consistent (with custom conflict resolution).selectable replication factorActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency
Immediate Consistency
Tunable consistency per server, database, table, and transaction
Eventual ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDtunable from ACID to Eventually Consistentnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesYes, tunable from durable to delayed durability to in-memoryyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes infovia In-Memory Engine
User concepts infoAccess controlAccess rights for users and rolesFine grained access rights according to SQL-standard with additional protections for filesAccess rights for users, groups and rolesfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
AnzoGraph DBFaircom DB infoformerly c-treeACEHiveIBM Db2 Event StorePercona Server for MongoDB
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