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DBMS > AnzoGraph DB vs. Apache Druid vs. EsgynDB vs. Interbase vs. Kinetica

System Properties Comparison AnzoGraph DB vs. Apache Druid vs. EsgynDB vs. Interbase vs. Kinetica

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Druid  Xexclude from comparisonEsgynDB  Xexclude from comparisonInterbase  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionLight-weight proven RDBMS infooriginally from BorlandFully vectorized database across both GPUs and CPUs
Primary database modelGraph DBMS
RDF store
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
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
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Websitecambridgesemantics.com/­anzographdruid.apache.orgwww.esgyn.cnwww.embarcadero.com/­products/­interbasewww.kinetica.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdruid.apache.org/­docs/­latest/­designdocs.embarcadero.com/­products/­interbasedocs.kinetica.com
DeveloperCambridge SemanticsApache Software Foundation and contributorsEsgynEmbarcaderoKinetica
Initial release20182012201519842012
Current release2.3, January 202129.0.1, April 2024InterBase 2020, December 20197.1, August 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache license v2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++, JavaCC, C++
Server operating systemsLinuxLinux
OS X
Unix
LinuxAndroid
iOS
Linux
OS X
Windows
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoexport as XML data possibleno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL for queryingyesyesSQL-like DML and DDL statements
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC++
Java
Python
Clojure
JavaScript
PHP
Python
R
Ruby
Scala
All languages supporting JDBC/ODBC/ADO.Net.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions and aggregatesnoJava Stored Proceduresyes infoInterbase procedure and trigger languageuser defined functions
Triggersnononoyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infomanual/auto, time-basedShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes, via HDFS, S3 or other storage enginesMulti-source replication between multi datacentersInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityno infonot needed in graphsnoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAccess rights for users and rolesRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardAccess rights for users and roles on table level

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More resources
AnzoGraph DBApache DruidEsgynDBInterbaseKinetica
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