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DBMS > Badger vs. DolphinDB vs. GBase vs. Lovefield

System Properties Comparison Badger vs. DolphinDB vs. GBase vs. Lovefield

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonDolphinDB  Xexclude from comparisonGBase  Xexclude from comparisonLovefield  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.Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Embeddable relational database for web apps written in pure JavaScript
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.33
Rank#286  Overall
#131  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerwww.dolphindb.comwww.gbase.cngoogle.github.io/­lovefield
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
DeveloperDGraph LabsDolphinDB, IncGeneral Data Technology Co., Ltd.Google
Initial release2017201820042014
Current releasev2.00.4, January 2022GBase 8a, GBase 8s, GBase 8c2.1.12, February 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial infofree community version availablecommercialOpen 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 languageGoC++C, Java, PythonJavaScript
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
Windows
Linuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nonoyesno
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like query languageStandard with numerous extensionsSQL-like query language infovia JavaScript builder pattern
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
C API
JDBC
ODBC
Supported programming languagesGoC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C#JavaScript
Server-side scripts infoStored proceduresnoyesuser defined functionsno
TriggersnonoyesUsing read-only observers
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Database
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDB
User concepts infoAccess controlnoAdministrators, Users, Groupsyesno

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