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DBMS > DolphinDB vs. Drizzle vs. FoundationDB vs. Hawkular Metrics

System Properties Comparison DolphinDB vs. Drizzle vs. FoundationDB vs. Hawkular Metrics

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonDrizzle  Xexclude from comparisonFoundationDB  Xexclude from comparisonHawkular Metrics  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionDolphinDB 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.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Ordered key-value store. Core features are complimented by layers.Hawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.
Primary database modelTime Series DBMSRelational DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Time Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Websitewww.dolphindb.comgithub.com/­apple/­foundationdbwww.hawkular.org
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlapple.github.io/­foundationdbwww.hawkular.org/­hawkular-metrics/­docs/­user-guide
DeveloperDolphinDB, IncDrizzle project, originally started by Brian AkerFoundationDBCommunity supported by Red Hat
Initial release2018200820132014
Current releasev2.00.4, January 20227.2.4, September 20126.2.28, November 2020
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGNU GPLOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++C++Java
Server operating systemsLinux
Windows
FreeBSD
Linux
OS X
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesyesschema-free infosome layers support schemasschema-free
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyes
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.nono
Secondary indexesyesyesnono
SQL infoSupport of SQLSQL-like query languageyes infowith proprietary extensionssupported in specific SQL layer onlyno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBCHTTP REST
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C++
Java
PHP
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Go
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnoin SQL-layer onlyno
Triggersnono infohooks for callbacks inside the server can be used.noyes infovia Hawkular Alerting
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication
Source-replica replication
yesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyLinearizable consistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integritynoyesin SQL-layer onlyno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
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.yesno
User concepts infoAccess controlAdministrators, Users, GroupsPluggable authentication mechanisms infoe.g. LDAP, HTTPnono

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More resources
DolphinDBDrizzleFoundationDBHawkular Metrics
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