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DBMS > AgensGraph vs. BigchainDB vs. LevelDB vs. SingleStore vs. Tkrzw

System Properties Comparison AgensGraph vs. BigchainDB vs. LevelDB vs. SingleStore vs. Tkrzw

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonBigchainDB  Xexclude from comparisonLevelDB  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table typeA 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 modelGraph DBMS
Relational DBMS
Document storeKey-value storeRelational DBMSKey-value store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.17
Rank#320  Overall
#29  Graph DBMS
#143  Relational DBMS
Score0.76
Rank#216  Overall
#36  Document stores
Score2.33
Rank#111  Overall
#19  Key-value stores
Score4.02
Rank#74  Overall
#39  Relational DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitebitnine.net/­agensgraphwww.bigchaindb.comgithub.com/­google/­leveldbwww.singlestore.comdbmx.net/­tkrzw
Technical documentationbitnine.net/­documentationbigchaindb.readthedocs.io/­en/­latestgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.singlestore.com
DeveloperBitnine Global Inc.GoogleSingleStore Inc.Mikio Hirabayashi
Initial release20162016201120132020
Current release2.1, December 20181.23, February 20218.5, January 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoAGPL v3Open Source infoBSDcommercial infofree developer edition availableOpen 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 languageCPythonC++C++, GoC++
Server operating systemsLinux
OS X
Windows
LinuxIllumos
Linux
OS X
Windows
Linux info64 bit version requiredLinux
macOS
Data schemedepending on used data modelschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesnonoyesno
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 indexesyesnoyes
SQL infoSupport of SQLyesnonoyes infobut no triggers and foreign keysno
APIs and other access methodsCypher Query Language
JDBC
CLI Client
RESTful HTTP API
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
Java
JavaScript
Python
Go
Haskell
Java
JavaScript
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
Bash
C
C#
Java
JavaScript (Node.js)
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyesnoyesno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingnoneSharding infohash partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornoneSource-replica replication infostores two copies of each physical data partition on two separate nodesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infocan define user-defined aggregate functions for map-reduce-style calculationsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByes infowith automatic compression on writesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing specific database classes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnoFine grained access control via users, groups and rolesno

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More resources
AgensGraphBigchainDBLevelDBSingleStore infoformer name was MemSQLTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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