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DBMS > chDB vs. Hypertable vs. Kinetica vs. Vertica vs. Vitess

System Properties Comparison chDB vs. Hypertable vs. Kinetica vs. Vertica vs. Vitess

Editorial information provided by DB-Engines
NamechDB  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonVitess  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn embedded SQL OLAP Engine powered by ClickHouseAn open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUsCloud or off-cloud 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.Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS infoColumn orientedRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
Time Series DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#376  Overall
#158  Relational DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score10.06
Rank#42  Overall
#26  Relational DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websitegithub.com/­chdb-io/­chdbwww.kinetica.comwww.vertica.comvitess.io
Technical documentationdoc.chdb.iodocs.kinetica.comvertica.com/­documentationvitess.io/­docs
DeveloperHypertable Inc.KineticaOpenText infopreviously Micro Focus and Hewlett PackardThe Linux Foundation, PlanetScale
Initial release20232009201220052013
Current release0.9.8.11, March 20167.1, August 202112.0.3, January 202315.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license availablecommercialcommercial infoLimited community edition freeOpen Source infoApache Version 2.0, commercial licenses available
Cloud-based only infoOnly available as a cloud servicenononono 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.
Implementation languageC++C, C++C++Go
Server operating systemsserver-lessLinux
OS X
Windows infoan inofficial Windows port is available
LinuxLinuxDocker
Linux
macOS
Data schemeschema-freeyesYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.yes
Typing infopredefined data types such as float or datenoyesyesyes
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 indexesrestricted infoonly exact value or prefix value scansyesNo Indexes Required. Different internal optimization strategy, but same functionality included.yes
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)noSQL-like DML and DDL statementsFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes infowith proprietary extensions
APIs and other access methodsC++ API
Thrift
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesBun
C
C++
Go
JavaScript (Node.js)
Python
Rust
C++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnouser defined functionsyes, PostgreSQL PL/pgSQL, with minor differencesyes infoproprietary syntax
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes, called Custom Alertsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelSource-replica replicationMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono infoBi-directional Spark integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesyesyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlnoAccess rights for users and roles on table levelfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
chDBHypertableKineticaVertica infoOpenText™ Vertica™Vitess
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» 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
chDBHypertableKineticaVertica infoOpenText™ Vertica™Vitess
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