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DBMS > Badger vs. DolphinDB vs. RavenDB

System Properties Comparison Badger vs. DolphinDB vs. RavenDB

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDolphinDB  Xexclude from comparisonRavenDB  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.DolphinDB 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.Open Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelKey-value storeTime Series DBMSDocument store
Secondary database modelsRelational DBMSGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score2.92
Rank#101  Overall
#18  Document stores
Websitegithub.com/­dgraph-io/­badgerwww.dolphindb.comravendb.net
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.dolphindb.cn/­en/­help200/­index.htmlravendb.net/­docs
DeveloperDGraph LabsDolphinDB, IncHibernating Rhinos
Initial release201720182010
Current releasev2.00.4, January 20225.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C#
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linux
macOS
Raspberry Pi
Windows
Data schemeschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesno
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 indexesnoyesyes
SQL infoSupport of SQLnoSQL-like query languageSQL-like query language (RQL)
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesGoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyesyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlnoAdministrators, Users, GroupsAuthorization levels configured per client per database

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More resources
BadgerDolphinDBRavenDB
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