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DBMS > Apache Druid vs. atoti vs. Hypertable vs. Prometheus

System Properties Comparison Apache Druid vs. atoti vs. Hypertable vs. Prometheus

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonatoti  Xexclude from comparisonHypertable  Xexclude from comparisonPrometheus  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn 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 HadoopOpen-source Time Series DBMS and monitoring system
Primary database modelRelational DBMS
Time Series DBMS
Object oriented DBMSWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.85
Rank#96  Overall
#50  Relational DBMS
#6  Time Series DBMS
Score0.45
Rank#253  Overall
#13  Object oriented DBMS
Score7.56
Rank#49  Overall
#3  Time Series DBMS
Websitedruid.apache.orgatoti.ioprometheus.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.atoti.ioprometheus.io/­docs
DeveloperApache Software Foundation and contributorsActiveViamHypertable Inc.
Initial release201220092015
Current release30.0.0, June 20240.9.8.11, March 2016
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree versions availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Go
Server operating systemsLinux
OS X
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Linux
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyes
Typing infopredefined data types such as float or dateyesnoNumeric data only
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 infoImport of XML data possible
Secondary indexesyesrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLSQL for queryingMultidimensional Expressions (MDX)nono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
C++ API
Thrift
RESTful HTTP/JSON API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoPythonnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedSharding, horizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor on file system levelyes infoby Federation
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemnono

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More resources
Apache DruidatotiHypertablePrometheus
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