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DBMS > DolphinDB vs. Dragonfly vs. Google Cloud Bigtable vs. Graphite vs. Newts

System Properties Comparison DolphinDB vs. Dragonfly vs. Google Cloud Bigtable vs. Graphite vs. Newts

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonDragonfly  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonNewts  Xexclude from comparison
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.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperTime Series DBMS based on Cassandra
Primary database modelTime Series DBMSKey-value storeKey-value store
Wide column store
Time Series DBMSTime 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
Score0.41
Rank#266  Overall
#38  Key-value stores
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.dolphindb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
cloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webopennms.github.io/­newts
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlwww.dragonflydb.io/­docscloud.google.com/­bigtable/­docsgraphite.readthedocs.iogithub.com/­OpenNMS/­newts/­wiki
DeveloperDolphinDB, IncDragonflyDB team and community contributorsGoogleChris DavisOpenNMS Group
Initial release20182023201520062014
Current releasev2.00.4, January 20221.0, March 2023
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoBSL 1.1commercialOpen Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C++PythonJava
Server operating systemsLinux
Windows
LinuxhostedLinux
Unix
Linux
OS X
Windows
Data schemeyesscheme-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysnoNumeric data onlyyes
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 indexesyesnononono
SQL infoSupport of SQLSQL-like query languagenononono
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Proprietary protocol infoRESP - REdis Serialization ProtocolgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
HTTP REST
Java API
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
Java
Server-side scripts infoStored proceduresyesLuanonono
Triggersnopublish/subscribe channels provide some trigger functionalitynonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnoneSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesnoneselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual 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 datayesAtomic execution of command blocks and scriptsAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes infolockingyes
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.yesyesnono
User concepts infoAccess controlAdministrators, Users, GroupsPassword-based authenticationAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nono

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More resources
DolphinDBDragonflyGoogle Cloud BigtableGraphiteNewts
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