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DBMS > FatDB vs. VelocityDB vs. Vertica vs. Yaacomo

System Properties Comparison FatDB vs. VelocityDB vs. Vertica vs. Yaacomo

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Editorial information provided by DB-Engines
NameFatDB  Xexclude from comparisonVelocityDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionA .NET NoSQL DBMS that can integrate with and extend SQL Server.A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performanceOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Graph DBMS
Object oriented DBMS
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#318  Overall
#32  Graph DBMS
#17  Object oriented DBMS
Score19.90
Rank#35  Overall
#21  Relational DBMS
Score0.00
Rank#348  Overall
#146  Relational DBMS
Websitevelocitydb.comwww.vertica.comyaacomo.com
Technical documentationvelocitydb.com/­UserGuidewww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperFatCloudVelocityDB IncVertica / Micro Focus infoprior to that Hewlett PackardQ2WEB GmbH
Initial release2012201120052009
Current release7.xVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercialcommercialcommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenonono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platformno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C#
Server operating systemsWindowsAny that supports .NETLinuxAndroid
Linux
Windows
Data schemeschema-freeyesyes infoUnstructured data can be stored in specific Flex-Tablesyes
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.noyesno
Secondary indexesyesyesno infoThe concept of 'projections' can be used instead of indexes.yes
SQL infoSupport of SQLno infoVia inetgration in SQL Servernoyes infonearly full SQL99 without support for indexes and triggersyes
APIs and other access methods.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
.NetADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languagesC#.NetC++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyes infovia applicationsnoyes
Triggersyes infovia applicationsCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoSegmentation, Projection Segmentation, Hash Segmentationhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infoCluster level and Object level replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infowith Vertica Connector for Hadoopno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlno infoCan implement custom security layer via applicationsBased on Windows Authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashfine grained access rights according to SQL-standard
More information provided by the system vendor
FatDBVelocityDBVertica infoVertica Analytics PlatformYaacomo
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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FatDBVelocityDBVertica infoVertica Analytics PlatformYaacomo
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