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DBMS > Vertica vs. Yaacomo

System Properties Comparison Vertica vs. Yaacomo

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Editorial information provided by DB-Engines
NameVertica infoVertica Analytics Platform  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionCloud 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 modelRelational DBMS infoColumn orientedRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.29
Rank#38  Overall
#24  Relational DBMS
Score0.00
Rank#354  Overall
#152  Relational DBMS
Websitewww.vertica.comyaacomo.com
Technical documentationvertica.com/­documentation
DeveloperMicro Focus infoprior to that Hewlett PackardQ2WEB GmbH
Initial release20052009
Current release11.1, February 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud serviceno 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++
Server operating systemsLinuxAndroid
Linux
Windows
Data schemeyes, but unstructured data can be stored in specific Flex-Tablesyes
Typing infopredefined data types such as float or dateyes: 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.nono
Secondary indexesNo Indexes Requiredyes
SQL infoSupport of SQLFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes
APIs and other access methodsADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
JDBC
ODBC
Supported programming languagesC#
C++
Java
Perl
PHP
Python
R
Server-side scripts infoStored proceduresyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal 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 methodsno infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine 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
Vertica infoVertica Analytics PlatformYaacomo
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy on-premises,...
» more
Competitive advantagesFast, scalable and capable of high concurrency. Separation of compute/storage leverages...
» 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 both available. One license is...
» more

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More resources
Vertica infoVertica Analytics PlatformYaacomo
Recent citations in the news

VAST Data teams up with Vertica to enable real-time queries at scale
19 April 2022, VentureBeat

Real-time Analytics News for Week Ending April 23
24 April 2022, RTInsights

The Week's 10 Biggest Funding Rounds: Velocity Global Looks To Grow Fast, SpotOn Hits The Mark For Investors
20 May 2022, Crunchbase News

“Above the Trend Line” – Your Industry Rumor Central for 5/5/2022
5 May 2022, insideBIGDATA

Sesame Software Launches Vertica Data Connector for High-Volume Connectivity to Cloud and On-Premise Applications
15 February 2022, PR Newswire

provided by Google News

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