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DBMS > Apache Druid vs. GreptimeDB vs. Hawkular Metrics vs. SAP Adaptive Server

System Properties Comparison Apache Druid vs. GreptimeDB vs. Hawkular Metrics vs. SAP Adaptive Server

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonGreptimeDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataAn open source Time Series DBMS built for increased scalability, high performance and efficiencyHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.The SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMS
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score0.06
Rank#352  Overall
#33  Time Series DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score36.31
Rank#25  Overall
#17  Relational DBMS
Websitedruid.apache.orggreptime.comwww.hawkular.orgwww.sap.com/­products/­technology-platform/­sybase-ase.html
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.greptime.comwww.hawkular.org/­hawkular-metrics/­docs/­user-guidehelp.sap.com/­docs/­SAP_ASE
DeveloperApache Software Foundation and contributorsGreptime Inc.Community supported by Red HatSAP, Sybase
Initial release2012202220141987
Current release29.0.1, April 202416.0
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaRustJavaC and C++
Server operating systemsLinux
OS X
Unix
Android
Docker
FreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Unix
Windows
Data schemeyes infoschema-less columns are supportedschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSQL for queryingyesnoyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
gRPC
HTTP API
JDBC
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C++
Erlang
Go
Java
JavaScript
Go
Java
Python
Ruby
C
C++
Cobol
Java
Java
Perl
PHP
Python
Server-side scripts infoStored proceduresnoPythonnoJava and Transact-SQL
Triggersnoyes infovia Hawkular Alertingyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding infobased on Cassandrahorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemSimple rights management via user accountsnofine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DruidGreptimeDBHawkular MetricsSAP Adaptive Server infoformer name: Sybase ASE
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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Apache DruidGreptimeDBHawkular MetricsSAP Adaptive Server infoformer name: Sybase ASE
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