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

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

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonSpaceTime  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 networksSpaceTime is a spatio-temporal DBMS with a focus on performance.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument store
Key-value store
Spatial DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.00
Rank#353  Overall
#5  Spatial DBMS
Score20.33
Rank#35  Overall
#21  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.mireo.hr/­spacetimewww.vertica.com
Technical documentationwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperAtos Convergence CreatorsMireoVertica / Micro Focus infoprior to that Hewlett Packard
Initial release201620202005
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 indexesyesnono infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoA subset of ANSI SQL is implementedyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsLDAPRESTful HTTP APIADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesAll languages with LDAP bindingsC#
C++
Python
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionFixed-grid hypercubesSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesyesReal-time block device replication (DRBD)Multi-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID
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 authenticationyesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Atos Standard Common RepositorySpaceTimeVertica infoVertica Analytics Platform
Specific characteristicsColumnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesPerformance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are available
» more

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More resources
Atos Standard Common RepositorySpaceTimeVertica infoVertica Analytics Platform
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