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DBMS > Dgraph vs. DolphinDB vs. Dragonfly vs. EsgynDB vs. Google Cloud Bigtable

System Properties Comparison Dgraph vs. DolphinDB vs. Dragonfly vs. EsgynDB vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonDolphinDB  Xexclude from comparisonDragonfly  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSDolphinDB 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 instanceEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Primary database modelGraph DBMSTime Series DBMSKey-value storeRelational DBMSKey-value store
Wide column store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Websitedgraph.iowww.dolphindb.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
www.esgyn.cncloud.google.com/­bigtable
Technical documentationdgraph.io/­docsdocs.dolphindb.cn/­en/­help200/­index.htmlwww.dragonflydb.io/­docscloud.google.com/­bigtable/­docs
DeveloperDgraph Labs, Inc.DolphinDB, IncDragonflyDB team and community contributorsEsgynGoogle
Initial release20162018202320152015
Current releasev2.00.4, January 20221.0, March 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availableOpen Source infoBSL 1.1commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++C++, Java
Server operating systemsLinux
OS X
Windows
Linux
Windows
LinuxLinuxhosted
Data schemeschema-freeyesscheme-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesstrings, hashes, lists, sets, sorted sets, bit arraysyesno
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 SQLnoSQL-like query languagenoyesno
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
Proprietary protocol infoRESP - REdis Serialization ProtocolADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C#
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
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesLuaJava Stored Proceduresno
Triggersnonopublish/subscribe channels provide some trigger functionalitynono
Partitioning methods infoMethods for storing different data on different nodesyeshorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftyesSource-replica replicationMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesAtomic execution of command blocks and scriptsACIDAtomic single-row operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes, strict serializability by the serveryesyes
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 controlno infoPlanned for future releasesAdministrators, Users, GroupsPassword-based authenticationfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)

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More resources
DgraphDolphinDBDragonflyEsgynDBGoogle Cloud Bigtable
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