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DBMS > VelocityDB vs. Vertica vs. Yaacomo

System Properties Comparison VelocityDB vs. Vertica vs. Yaacomo

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Editorial information provided by DB-Engines
NameVelocityDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Cloud or on-premises analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelGraph DBMS
Object oriented DBMS
Relational DBMS infoColumn orientedRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.03
Rank#336  Overall
#35  Graph DBMS
#17  Object oriented DBMS
Score19.29
Rank#38  Overall
#24  Relational DBMS
Score0.00
Rank#354  Overall
#152  Relational DBMS
Websitevelocitydb.comwww.vertica.comyaacomo.com
Technical documentationvelocitydb.com/­UserGuidevertica.com/­documentation
DeveloperVelocityDB IncMicro Focus infoprior to that Hewlett PackardQ2WEB GmbH
Initial release201120052009
Current release7.x11.1, February 2022
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Vertica Accelerator’s high-performance analytics and machine learning with SQL or Python is available as a managed service.
Implementation languageC#C++
Server operating systemsAny that supports .NETLinuxAndroid
Linux
Windows
Data schemeyesyes, but unstructured data can be stored in specific Flex-Tablesyes
Typing infopredefined data types such as float or dateyesyes: BINARY, BOOLEAN, CHAR, VARCHAR, LONG VARCHAR, DATE, TIME, TIMESTAMP, INTERVAL, INTERVAL DAY TO SECOND, INTERVAL YEAR TO MONTH, DOUBLE PRECISION, FLOAT, INTEGER, BIGINT, SMALLINT,NUMERIC, DECIMAL, NUMBER, MONEY,GEOMETRYyes
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.nonono
Secondary indexesyesNo Indexes Requiredyes
SQL infoSupport of SQLnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes
APIs and other access methods.NetADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
JDBC
ODBC
Supported programming languages.NetC#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyes, PostgreSQL PL/pgSQL, with minor differences
TriggersCallbacks are triggered when data changesyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, hierarchical partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesnoyes
User concepts infoAccess controlBased 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
VelocityDBVertica infoVertica Analytics PlatformYaacomo
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
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Competitive advantagesFast, scalable and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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More resources
VelocityDBVertica infoVertica Analytics PlatformYaacomo
Recent citations in the news

VAST links arms with Vertica for fast analytics – Blocks and Files
19 April 2022, Blocks and Files

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23 February 2022, PR Newswire

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provided by Google News

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