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DBMS > AnzoGraph DB vs. Apache Impala vs. CockroachDB vs. Netezza vs. Yaacomo

System Properties Comparison AnzoGraph DB vs. Apache Impala vs. CockroachDB vs. Netezza vs. Yaacomo

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonApache Impala  Xexclude from comparisonCockroachDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed 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 HadoopCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.Data warehouse and analytics appliance part of IBM PureSystemsOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMSRelational 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
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websitecambridgesemantics.com/­anzographimpala.apache.orgwww.cockroachlabs.comwww.ibm.com/­products/­netezzayaacomo.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmimpala.apache.org/­impala-docs.htmlwww.cockroachlabs.com/­docs
DeveloperCambridge SemanticsApache Software Foundation infoApache top-level project, originally developed by ClouderaCockroach LabsIBMQ2WEB GmbH
Initial release20182013201520002009
Current release2.3, January 20214.1.0, June 202223.1.1, May 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2Open Source infoApache 2.0, commercial license availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Go
Server operating systemsLinuxLinuxLinux
macOS
Windows
Linux infoincluded in applianceAndroid
Linux
Windows
Data schemeSchema-free and OWL/RDFS-schema supportyesdynamic schemayesyes
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
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.SQL-like DML and DDL statementsyes, wire compatible with PostgreSQLyesyes
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
JDBC
ODBC
JDBCJDBC
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC++
Java
Python
All languages supporting JDBC/ODBCC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes infouser defined functions and integration of map-reducenoyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardinghorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-Clusterselectable replication factorMulti-source replication using RAFTSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingyes infoquery execution via MapReducenoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
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.yesnonoyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles infobased on Apache Sentry and KerberosRole-based access controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBApache ImpalaCockroachDBNetezza infoAlso called PureData System for Analytics by IBMYaacomo
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