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DBMS > AnzoGraph DB vs. Ignite vs. Kdb vs. LevelDB

System Properties Comparison AnzoGraph DB vs. Ignite vs. Kdb vs. LevelDB

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonIgnite  Xexclude from comparisonKdb  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.High performance Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string values
Primary database modelGraph DBMS
RDF store
Key-value store
Relational DBMS
Time Series DBMS
Vector DBMS
Key-value store
Secondary database modelsRelational 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
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Websitecambridgesemantics.com/­anzographignite.apache.orgkx.comgithub.com/­google/­leveldb
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmapacheignite.readme.io/­docscode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperCambridge SemanticsApache Software FoundationKx Systems, a division of First Derivatives plcGoogle
Initial release201820152000 infokdb was released 2000, kdb+ in 20032011
Current release2.3, January 2021Apache Ignite 2.63.6, May 20181.23, February 2021
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache 2.0commercial infofree 32-bit versionOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetqC++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyesyesno
Secondary indexesnoyesyes infotable attribute 'grouped'no
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.ANSI-99 for query and DML statements, subset of DDLSQL-like query language (q)no
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesC++
Java
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes (compute grid and cache interceptors can be used instead)user defined functionsno
Triggersnoyes (cache interceptors and events)yes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusteryes (replicated cache)Source-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes (compute grid and hadoop accelerator)no infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writes
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 rolesSecurity Hooks for custom implementationsrights management via user accountsno
More information provided by the system vendor
AnzoGraph DBIgniteKdbLevelDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
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Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
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More resources
AnzoGraph DBIgniteKdbLevelDB
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