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DBMS > BigchainDB vs. Fujitsu Enterprise Postgres vs. RocksDB vs. Tkrzw vs. YugabyteDB

System Properties Comparison BigchainDB vs. Fujitsu Enterprise Postgres vs. RocksDB vs. Tkrzw vs. YugabyteDB

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonRocksDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Embeddable persistent key-value store optimized for fast storage (flash and RAM)A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetHigh-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primary database modelDocument storeRelational DBMSKey-value storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.bigchaindb.comwww.postgresql.fastware.comrocksdb.orgdbmx.net/­tkrzwwww.yugabyte.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestwww.postgresql.fastware.com/­product-manualsgithub.com/­facebook/­rocksdb/­wikidocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyFacebook, Inc.Mikio HirabayashiYugabyte Inc.
Initial release2016201320202017
Current releaseFujitsu Enterprise Postgres 14, January 20229.2.1, May 20240.9.3, August 20202.19, September 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoBSDOpen Source infoApache Version 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
Implementation languagePythonCC++C++C and C++
Server operating systemsLinuxLinux
Windows
LinuxLinux
macOS
Linux
OS X
Data schemeschema-freeyesschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or datenoyesnonoyes
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.nononono
Secondary indexesyesnoyes
SQL infoSupport of SQLnoyesnonoyes, PostgreSQL compatible
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-side scripts infoStored proceduresuser defined functionsnonoyes infosql, plpgsql, C
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and by hashhorizontal partitioningnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyesnoneBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infousing specific database classesno
User concepts infoAccess controlyesfine grained access rights according to SQL-standardnonoyes
More information provided by the system vendor
BigchainDBFujitsu Enterprise PostgresRocksDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
Specific characteristicsYugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesPostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
» more
Typical application scenariosSystems of record and engagement for cloud native applications that require resilience,...
» more
Market metrics2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsApache 2.0 license for the database
» more

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3rd partiesSpeedb: A high performance RocksDB-compliant key-value store optimized for write-intensive workloads.
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More resources
BigchainDBFujitsu Enterprise PostgresRocksDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
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