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DBMS > BigchainDB vs. DolphinDB vs. LevelDB vs. OpenEdge vs. Tkrzw

System Properties Comparison BigchainDB vs. DolphinDB vs. LevelDB vs. OpenEdge vs. Tkrzw

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDolphinDB  Xexclude from comparisonLevelDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsDolphinDB 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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesApplication development environment with integrated database management systemA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelDocument storeTime Series DBMSKey-value storeRelational DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score3.51
Rank#86  Overall
#46  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.bigchaindb.comwww.dolphindb.comgithub.com/­google/­leveldbwww.progress.com/­openedgedbmx.net/­tkrzw
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocumentation.progress.com/­output/­ua/­OpenEdge_latest
DeveloperDolphinDB, IncGoogleProgress Software CorporationMikio Hirabayashi
Initial release20162018201119842020
Current releasev2.00.4, January 20221.23, February 2021OpenEdge 12.2, March 20200.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infofree community version availableOpen Source infoBSDcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC++C++C++
Server operating systemsLinuxLinux
Windows
Illumos
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesnoyesno
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.nononoyesno
Secondary indexesyesnoyes
SQL infoSupport of SQLnoSQL-like query languagenoyes infoclose to SQL 92no
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
JDBC
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Progress proprietary ABL (Advanced Business Language)C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesno
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonehorizontal partitioning infosince Version 11.4none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infousing specific database classes
User concepts infoAccess controlyesAdministrators, Users, GroupsnoUsers and groupsno

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More resources
BigchainDBDolphinDBLevelDBOpenEdgeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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