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DBMS > Apache Druid vs. Apache IoTDB vs. Hawkular Metrics vs. TerarkDB vs. Warp 10

System Properties Comparison Apache Druid vs. Apache IoTDB vs. Hawkular Metrics vs. TerarkDB vs. Warp 10

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonApache IoTDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTerarkDB  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSKey-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score0.08
Rank#367  Overall
#56  Key-value stores
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitedruid.apache.orgiotdb.apache.orgwww.hawkular.orggithub.com/­bytedance/­terarkdbwww.warp10.io
Technical documentationdruid.apache.org/­docs/­latest/­designiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidebytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcwww.warp10.io/­content/­02_Getting_started
DeveloperApache Software Foundation and contributorsApache Software FoundationCommunity supported by Red HatByteDance, originally TerarkSenX
Initial release20122018201420162015
Current release29.0.1, April 20241.1.0, April 2023
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache 2.0commercial inforestricted open source version availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++Java
Server operating systemsLinux
OS X
Unix
All OS with a Java VM (>= 1.8)Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.nonononono
Secondary indexesyesyesnonono
SQL infoSupport of SQLSQL for queryingSQL-like query languagenonono
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
Native API
HTTP RESTC++ API
Java API
HTTP API
Jupyter
WebSocket
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
Go
Java
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresnoyesnonoyes infoWarpScript
Triggersnoyesyes infovia Hawkular Alertingnono
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioning (by time range) + vertical partitioning (by deviceId)Sharding infobased on CassandranoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasselectable replication factor infobased on Cassandranoneselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong Consistency with Raft
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency infobased on HBase
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyesyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemyesnonoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Apache DruidApache IoTDBHawkular MetricsTerarkDBWarp 10
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