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DBMS > BoltDB vs. Datomic vs. DolphinDB vs. Fujitsu Enterprise Postgres vs. NuoDB

System Properties Comparison BoltDB vs. Datomic vs. DolphinDB vs. Fujitsu Enterprise Postgres vs. NuoDB

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatomic  Xexclude from comparisonDolphinDB  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonNuoDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDolphinDB 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.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.NuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.datomic.comwww.dolphindb.comwww.postgresql.fastware.comwww.3ds.com/­nuodb-distributed-sql-database
Technical documentationdocs.datomic.comdocs.dolphindb.cn/­en/­help200/­index.htmlwww.postgresql.fastware.com/­product-manualsdoc.nuodb.com
DeveloperCognitectDolphinDB, IncPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyDassault Systèmes infooriginally NuoDB, Inc.
Initial release2013201220182013
Current release1.0.6735, June 2023v2.00.4, January 2022Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial infolimited edition freecommercial infofree community version availablecommercialcommercial infolimited edition free
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.
Implementation languageGoJava, ClojureC++CC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
All OS with a Java VMLinux
Windows
Linux
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLnonoSQL-like query languageyesyes
APIs and other access methodsRESTful HTTP APIJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
JDBC
ODBC
Supported programming languagesGoClojure
Java
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes infoTransaction Functionsyesuser defined functionsJava, SQL
TriggersnoBy using transaction functionsnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenone infoBut extensive use of caching in the application peershorizontal partitioningpartitioning by range, list and by hashdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesnonenone infoBut extensive use of caching in the application peersyesSource-replica replicationyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDyesACIDACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)yes infoMVCC
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyesyes infoTemporary table
User concepts infoAccess controlnonoAdministrators, Users, Groupsfine grained access rights according to SQL-standardStandard SQL roles/ privileges, Administrative Users
More information provided by the system vendor
BoltDBDatomicDolphinDBFujitsu Enterprise PostgresNuoDB
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
BoltDBDatomicDolphinDBFujitsu Enterprise PostgresNuoDB
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