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

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

Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonRocksDB  Xexclude from comparisonScyllaDB  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionEnterprise-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)Cassandra and DynamoDB compatible wide column storeA 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 modelRelational DBMSKey-value storeWide column storeKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Key-value storeDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.37
Rank#278  Overall
#128  Relational DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Score4.08
Rank#76  Overall
#5  Wide column stores
Score0.07
Rank#372  Overall
#57  Key-value stores
Score2.63
Rank#109  Overall
#53  Relational DBMS
Websitewww.postgresql.fastware.comrocksdb.orgwww.scylladb.comdbmx.net/­tkrzwwww.yugabyte.com
Technical documentationwww.postgresql.fastware.com/­product-manualsgithub.com/­facebook/­rocksdb/­wikidocs.scylladb.comdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyFacebook, Inc.ScyllaDBMikio HirabayashiYugabyte Inc.
Initial release2013201520202017
Current releaseFujitsu Enterprise Postgres 14, January 20229.2.1, May 2024ScyllaDB Open Source 5.4.1, January 20240.9.3, August 20202.19, September 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoOpen Source (AGPL), commercial license availableOpen 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.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaSYugabyteDB 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 languageCC++C++C++C and C++
Server operating systemsLinux
Windows
LinuxLinuxLinux
macOS
Linux
OS X
Data schemeyesschema-freeschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesnoyesnoyes
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 infocluster global secondary indicesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements (CQL)noyes, PostgreSQL compatible
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
C++ API
Java API
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
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 languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C++
Go
Java
Perl
Python
Ruby
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, 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 functionsnoyes, Luanoyes infosql, plpgsql, C
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashhorizontal partitioningShardingnoneHash and Range Sharding, row-level geo-partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesselectable replication factor infoRepresentation of geographical distribution of servers is possiblenoneBased 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 ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate ConsistencyStrong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno infoAtomicity and isolation are supported for single operationsDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infoin-memory tablesyes infousing specific database classesno
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users can be defined per objectnoyes
More information provided by the system vendor
Fujitsu Enterprise PostgresRocksDBScyllaDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
YugabyteDB is an open source distributed SQL database for cloud native transactional...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
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Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
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Systems of record and engagement for cloud native applications that require resilience,...
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Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more
Apache 2.0 license for the database
» more

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More resources
Fujitsu Enterprise PostgresRocksDBScyllaDBTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYugabyteDB
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