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DBMS > Apache Druid vs. Databend vs. Datomic vs. FatDB vs. Hawkular Metrics

System Properties Comparison Apache Druid vs. Databend vs. Datomic vs. FatDB vs. Hawkular Metrics

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDatabend  Xexclude from comparisonDatomic  Xexclude from comparisonFatDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityA .NET NoSQL DBMS that can integrate with and extend SQL Server.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSDocument store
Key-value store
Time 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
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score0.01
Rank#377  Overall
#39  Time Series DBMS
Websitedruid.apache.orggithub.com/­datafuselabs/­databend
www.databend.com
www.datomic.comwww.hawkular.org
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.databend.comdocs.datomic.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperApache Software Foundation and contributorsDatabend LabsCognitectFatCloudCommunity supported by Red Hat
Initial release20122021201220122014
Current release30.0.0, June 20241.0.59, April 20231.0.7180, July 2024
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercial infolimited edition freecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaRustJava, ClojureC#Java
Server operating systemsLinux
OS X
Unix
hosted
Linux
macOS
All OS with a Java VMWindowsLinux
OS X
Windows
Data schemeyes infoschema-less columns are supportedyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nononono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLSQL for queryingyesnono infoVia inetgration in SQL Serverno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
CLI Client
JDBC
RESTful HTTP API
RESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
HTTP REST
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
Go
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
C#Go
Java
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsyes infovia applicationsno
TriggersnonoBy using transaction functionsyes infovia applicationsyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenone infoBut extensive use of caching in the application peersShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesnonenone infoBut extensive use of caching in the application peersselectable replication factorselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentno
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemUsers with fine-grained authorization concept, user rolesnono infoCan implement custom security layer via applicationsno

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More resources
Apache DruidDatabendDatomicFatDBHawkular Metrics
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