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DBMS > atoti vs. Hypertable vs. InfluxDB vs. TimesTen

System Properties Comparison atoti vs. Hypertable vs. InfluxDB vs. TimesTen

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonHypertable  Xexclude from comparisonInfluxDB  Xexclude from comparisonTimesTen  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.An open source BigTable implementation based on distributed file systems such as HadoopDBMS for storing time series, events and metricsAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelObject oriented DBMSWide column storeTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith GEO package
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score22.12
Rank#28  Overall
#1  Time Series DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteatoti.iowww.influxdata.com/­products/­influxdb-overviewwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.atoti.iodocs.influxdata.com/­influxdbdocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperActiveViamHypertable Inc.Oracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release200920131998
Current release0.9.8.11, March 20162.7.6, April 2024Release 22.1
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoMIT-License; commercial enterprise version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Go
Server operating systemsLinux
OS X
Windows infoan inofficial Windows port is available
Linux
OS X infothrough Homebrew
IBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoNumeric data and Stringsyes
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 scansnoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)noSQL-like query languageyes
APIs and other access methodsC++ API
Thrift
HTTP API
JSON over UDP
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languagesC++
Java
Perl
PHP
Python
Ruby
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresPythonnonoPL/SQL
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infoin enterprise version onlynone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoDepending on used storage engineyes
User concepts infoAccess controlnosimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
atotiHypertableInfluxDBTimesTen
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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