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DBMS > AnzoGraph DB vs. Apache Impala vs. Brytlyt vs. Drizzle vs. JaguarDB

System Properties Comparison AnzoGraph DB vs. Apache Impala vs. Brytlyt vs. Drizzle vs. JaguarDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonBrytlyt  Xexclude from comparisonDrizzle  Xexclude from comparisonJaguarDB  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAnalytic DBMS for HadoopScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Performant, highly scalable DBMS for AI and IoT applications
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSKey-value store
Vector DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Websitecambridgesemantics.com/­anzographimpala.apache.orgbrytlyt.iowww.jaguardb.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmldocs.brytlyt.iowww.jaguardb.com/­support.html
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaBrytlytDrizzle project, originally started by Brian AkerDataJaguar, Inc.
Initial release20182013201620082015
Current release2.3, January 20214.1.0, June 20225.0, August 20237.2.4, September 20123.3 July 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2commercialOpen Source infoGNU GPLOpen Source infoGPL V3.0
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 languageC++C, C++ and CUDAC++C++ infothe server part. Clients available in other languages
Server operating systemsLinuxLinuxLinux
OS X
Windows
FreeBSD
Linux
OS X
Linux
Data schemeSchema-free and OWL/RDFS-schema supportyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsyesyes infowith proprietary extensionsA subset of ANSI SQL is implemented infobut no views, foreign keys, triggers
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBCJDBC
ODBC
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBC.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C
C++
Java
PHP
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reduceuser defined functions infoin PL/pgSQLnono
Triggersnonoyesno infohooks for callbacks inside the server can be used.no
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.yesnono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosfine grained access rights according to SQL-standardPluggable authentication mechanisms infoe.g. LDAP, HTTPrights management via user accounts

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More resources
AnzoGraph DBApache ImpalaBrytlytDrizzleJaguarDB
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