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DBMS > Apache Druid vs. DolphinDB vs. InfluxDB vs. SAP Adaptive Server vs. Speedb

System Properties Comparison Apache Druid vs. DolphinDB vs. InfluxDB vs. SAP Adaptive Server vs. Speedb

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonDolphinDB  Xexclude from comparisonInfluxDB  Xexclude from comparisonSAP Adaptive Server infoformer name: Sybase ASE  Xexclude from comparisonSpeedb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataDolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.DBMS for storing time series, events and metricsThe SAP (Sybase) Adaptive Server Enterprise (ASE) is an enterprise-class RDBMSAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDB
Primary database modelRelational DBMS
Time Series DBMS
Time Series DBMS
Vector DBMS
Time Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMSSpatial DBMS infowith GEO packageSpatial DBMS infowith Boeing's Spatial Query Server
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.70
Rank#98  Overall
#50  Relational DBMS
#7  Time Series DBMS
Score2.60
Rank#102  Overall
#8  Time Series DBMS
#6  Vector DBMS
Score21.47
Rank#28  Overall
#1  Time Series DBMS
Score31.48
Rank#25  Overall
#17  Relational DBMS
Score0.16
Rank#318  Overall
#46  Key-value stores
Websitedruid.apache.orgwww.dolphindb.comwww.influxdata.com/­products/­influxdb-overviewwww.sap.com/­products/­technology-platform/­sybase-ase.htmlwww.speedb.io
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.dolphindb.cn/­en/­help200/­index.htmldocs.influxdata.com/­influxdbhelp.sap.com/­docs/­SAP_ASE
DeveloperApache Software Foundation and contributorsDolphinDB, IncSAP, SybaseSpeedb
Initial release20122018201319872020
Current release30.0.0, June 2024v2.00.4, January 20222.7.6, April 202416.0
License infoCommercial or Open SourceOpen Source infoApache license v2commercial infofree community version availableOpen Source infoMIT-License; commercial enterprise version availablecommercialOpen Source infoApache Version 2.0; commercial license available
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 languageJavaC++GoC and C++C++
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
OS X infothrough Homebrew
AIX
HP-UX
Linux
Solaris
Unix
Windows
Linux
Windows
Data schemeyes infoschema-less columns are supportedyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data and Stringsyesno
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 indexesyesyesnoyesno
SQL infoSupport of SQLSQL for queryingSQL-like query languageSQL-like query languageyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
HTTP API
JSON over UDP
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Cobol
Java
Java
Perl
PHP
Python
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnoyesnoJava and Transact-SQLno
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedhorizontal partitioningSharding infoin enterprise version onlyhorizontal partitioninghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesselectable replication factor infoin enterprise version onlyMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesnoACIDyes
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.noyesyes infoDepending on used storage engineyes
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAdministrators, Users, Groupssimple rights management via user accountsfine grained access rights according to SQL-standardno
More information provided by the system vendor
Apache DruidDolphinDBInfluxDBSAP Adaptive Server infoformer name: Sybase ASESpeedb
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» more
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
» more
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» more
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» more
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» more
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» more
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