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DBMS > AnzoGraph DB vs. Atos Standard Common Repository vs. Heroic vs. LevelDB vs. Teradata

System Properties Comparison AnzoGraph DB vs. Atos Standard Common Repository vs. Heroic vs. LevelDB vs. Teradata

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHeroic  Xexclude from comparisonLevelDB  Xexclude from comparisonTeradata  Xexclude from comparison
This system has been discontinued and will be 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 virtualizationHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelGraph DBMS
RDF store
Document store
Key-value store
Time Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score0.13
Rank#335  Overall
#29  Time Series DBMS
Score2.33
Rank#111  Overall
#19  Key-value stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Websitecambridgesemantics.com/­anzographatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­spotify/­heroicgithub.com/­google/­leveldbwww.teradata.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmspotify.github.io/­heroicgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.teradata.com
DeveloperCambridge SemanticsAtos Convergence CreatorsSpotifyGoogleTeradata
Initial release20182016201420111984
Current release2.3, January 202117031.23, February 2021Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infoApache 2.0Open Source infoBSDcommercial
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 languageJavaJavaC++
Server operating systemsLinuxLinuxIllumos
Linux
OS X
Windows
hosted
Linux
Data schemeSchema-free and OWL/RDFS-schema supportSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesnoyes
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.noyesnonoyes
Secondary indexesnoyesyes infovia Elasticsearchnoyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nononoyes infoSQL 2016 + extensions
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
LDAPHQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesC++
Java
Python
All languages with LDAP bindingsC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresuser defined functions and aggregatesnononoyes infoUDFs, stored procedures, table functions in parallel
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infocell divisionShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusteryesyesnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesLDAP bind authenticationnofine grained access rights according to SQL-standard

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More resources
AnzoGraph DBAtos Standard Common RepositoryHeroicLevelDBTeradata
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