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DBMS > Infobright vs. Vertica vs. Yaacomo

System Properties Comparison Infobright vs. Vertica vs. Yaacomo

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Editorial information provided by DB-Engines
NameInfobright  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendColumnar 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 modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.10
Rank#168  Overall
#82  Relational DBMS
Score19.90
Rank#35  Overall
#21  Relational DBMS
Score0.00
Rank#348  Overall
#146  Relational DBMS
Websitewww.ignitetech.com/­infobright-dbwww.vertica.comyaacomo.com
Technical documentationwww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperIgnite Technologies Inc.; formerly InfoBright Inc.Vertica / Micro Focus infoprior to that Hewlett PackardQ2WEB GmbH
Initial release200520052009
Current releaseVertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016commercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenono 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
Server operating systemsLinux
Windows
LinuxAndroid
Linux
Windows
Data schemeyesyes infoUnstructured data can be stored in specific Flex-Tablesyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesno infoKnowledge Grid Technology used insteadno infoThe concept of 'projections' can be used instead of indexes.yes
SQL infoSupport of SQLyesyes infonearly full SQL99 without support for indexes and triggersyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Supported programming languages.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentationhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication infoCluster level and Object level replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infowith Vertica Connector for Hadoopno
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.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiesfine 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
InfobrightVertica 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
InfobrightVertica infoVertica Analytics PlatformYaacomo
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