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DBMS > Atos Standard Common Repository vs. TigerGraph vs. Vertica

System Properties Comparison Atos Standard Common Repository vs. TigerGraph vs. Vertica

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonTigerGraph  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument store
Key-value store
Graph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#122  Overall
#9  Graph DBMS
Score21.10
Rank#35  Overall
#21  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.tigergraph.comwww.vertica.com
Technical documentationdocs.tigergraph.comwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperAtos Convergence CreatorsVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201620172005
Current release1703Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsLinuxLinuxLinux
Data schemeSchema and schema-less with LDAP viewsyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateoptionalyesyes
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.yesnoyes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoSQL-like query language (GSQL)yes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsLDAPGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC++
Java
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyesyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationRole-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Atos Standard Common RepositoryTigerGraphVertica infoVertica Analytics Platform
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersFour out of the top five global banks use TigerGraph for real-time fraud detection....
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsANALYST RESEARCH Nov 2020: TigerGraph Named A Leader For Graph Data Platforms - TigerGraph...
» more
Licensing and pricing modelsTry TigerGraph for Free in the Cloud or On Prem https://www.tigergraph.com/get-tigergraph/...
» more
Cost-based models and subscription-based models are available
» more

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More resources
Atos Standard Common RepositoryTigerGraphVertica infoVertica Analytics Platform
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