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DBMS > Apache Kylin vs. TerarkDB vs. TimesTen vs. Vertica

System Properties Comparison Apache Kylin vs. TerarkDB vs. TimesTen vs. Vertica

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonTerarkDB  Xexclude from comparisonTimesTen  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBIn-Memory RDBMS compatible to OracleColumnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.36
Rank#145  Overall
#71  Relational DBMS
Score0.02
Rank#341  Overall
#53  Key-value stores
Score1.85
Rank#125  Overall
#60  Relational DBMS
Score20.31
Rank#35  Overall
#21  Relational DBMS
Websitekylin.apache.orggithub.com/­Terark/­terarkdbwww.oracle.com/­database/­technologies/­related/­timesten.htmlwww.vertica.com
Technical documentationkylin.apache.org/­docsgithub.com/­Terark/­terarkdb/­wikidocs.oracle.com/­database/­timesten-18.1www.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperApache Software Foundation, originally contributed from eBay IncTerarkOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release2015201619982005
Current release3.1.0, July 202011 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 SourceOpen Source infoApache Version 2.0commercial inforestricted open source version availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenononono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
Data schemeyesschema-freeyesyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyesnoyesyes
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.nononoyes
Secondary indexesyesnoyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)noyesyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
C++ API
Java API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC++
Java
C
C++
Java
PL/SQL
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresnoPL/SQLyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyes infowith Vertica Connector for Hadoop
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate 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 datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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.noyesyes
User concepts infoAccess controlnofine 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
Apache KylinTerarkDBTimesTenVertica infoVertica Analytics Platform
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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More resources
Apache KylinTerarkDBTimesTenVertica infoVertica Analytics Platform
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