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DBMS > Axibase vs. TimesTen vs. Vertica

System Properties Comparison Axibase vs. TimesTen vs. Vertica

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonTimesTen  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationIn-Memory RDBMS compatible to OracleColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#254  Overall
#19  Time Series DBMS
Score2.38
Rank#108  Overall
#51  Relational DBMS
Score20.95
Rank#31  Overall
#18  Relational DBMS
Websiteaxibase.com/­products/­axibase-time-series-databasewww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.vertica.com
Technical documentationgithub.com/­axibase/­atsddocs.oracle.com/­database/­timesten-18.1www.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperAxibase CorporationOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release201319982005
Current release1558511 Release 2 (11.2.2.8.0)Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercialcommercial 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 languageJava
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyes
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.nonoyes
Secondary indexesnoyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLSQL-like query languageyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C
C++
Java
PL/SQL
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresyesPL/SQLyes
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication
Master-slave replication
Master-master replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoby means of logfiles and checkpointsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AxibaseTimesTenVertica infoVertica Analytics Platform
Specific characteristicsThe world's first commercial In-Memory Relational Database offering (launched in...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesTimesTen offers many advantages over competing products: Mature product with nearly...
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Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
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Typical application scenariosTimesTen can be used in a wide range of application areas. Some examples include:...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersSome of our key customers include Ericsson , Telcordia , China Mobile, China Telecom,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsTimesTen is used by thousands of customers in tens of thousands of deployments worldwide...
» more
Licensing and pricing modelsStandard Oracle licence models ; end user and ISV/OEM licence terms available.
» more
Cost-based models and subscription-based models are available
» more

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More resources
AxibaseTimesTenVertica infoVertica Analytics Platform
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