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DBMS > Apache Drill vs. Datomic vs. Hawkular Metrics vs. TimescaleDB vs. Valentina Server

System Properties Comparison Apache Drill vs. Datomic vs. Hawkular Metrics vs. TimescaleDB vs. Valentina Server

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonDatomic  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonTimescaleDB  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A time series DBMS optimized for fast ingest and complex queries, based on PostgreSQLObject-relational database and reports server
Primary database modelDocument store
Relational DBMS
Relational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.95
Rank#127  Overall
#23  Document stores
#60  Relational DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score4.64
Rank#71  Overall
#4  Time Series DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitedrill.apache.orgwww.datomic.comwww.hawkular.orgwww.timescale.comwww.valentina-db.net
Technical documentationdrill.apache.org/­docsdocs.datomic.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.timescale.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperApache Software FoundationCognitectCommunity supported by Red HatTimescaleParadigma Software
Initial release20122012201420171999
Current release1.20.3, January 20231.0.6735, June 20232.15.0, May 20245.7.5
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data typesyes
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.nononoyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnonoyes infofull PostgreSQL SQL syntaxyes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
RESTful HTTP APIHTTP RESTADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ODBC
Supported programming languagesC++Clojure
Java
Go
Java
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functionsyes infoTransaction Functionsnouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shellyes
TriggersnoBy using transaction functionsyes infovia Hawkular Alertingyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersSharding infobased on Cassandrayes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factor infobased on CassandraSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyes inforecommended only for testing and developmentnonoyes
User concepts infoAccess controlDepending on the underlying data sourcenonofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache DrillDatomicHawkular MetricsTimescaleDBValentina Server
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