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DBMS > Hypertable vs. TempoIQ vs. Vertica vs. VictoriaMetrics

System Properties Comparison Hypertable vs. TempoIQ vs. Vertica vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameHypertable  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionAn open source BigTable implementation based on distributed file systems such as HadoopScalable analytics DBMS for sensor data, provided as a service (SaaS)Cloud 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.A fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelWide column storeTime Series DBMSRelational DBMS infoColumn orientedTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.62
Rank#42  Overall
#26  Relational DBMS
Score1.23
Rank#165  Overall
#15  Time Series DBMS
Websitetempoiq.com (offline)www.vertica.comvictoriametrics.com
Technical documentationvertica.com/­documentationdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperHypertable Inc.TempoIQOpenText infopreviously Micro Focus and Hewlett PackardVictoriaMetrics
Initial release2009201220052018
Current release0.9.8.11, March 201612.0.3, January 2023v1.91, May 2023
License infoCommercial or Open SourceOpen Source infoGNU version 3. Commercial license availablecommercialcommercial infoLimited community edition freeOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Go
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
LinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or datenoyesyes
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.nonono
Secondary indexesrestricted infoonly exact value or prefix value scansNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.no
APIs and other access methodsC++ API
Thrift
HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
C#
Java
JavaScript infoNode.js
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnonoyes, PostgreSQL PL/pgSQL, with minor differencesno
Triggersnoyes infoRealtime Alertsyes, called Custom Alertsno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.Synchronous 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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonono
User concepts infoAccess controlnosimple authentication-based access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash

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More resources
HypertableTempoIQ infoformerly TempoDBVertica infoOpenText™ Vertica™VictoriaMetrics
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