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DBMS > BoltDB vs. Databend vs. Datomic vs. RocksDB

System Properties Comparison BoltDB vs. Databend vs. Datomic vs. RocksDB

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonDatabend  Xexclude from comparisonDatomic  Xexclude from comparisonRocksDB  Xexclude from comparison
DescriptionAn embedded key-value store for Go.An open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelKey-value storeRelational DBMSRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.70
Rank#225  Overall
#31  Key-value stores
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score2.84
Rank#97  Overall
#16  Key-value stores
Websitegithub.com/­boltdb/­boltgithub.com/­datafuselabs/­databend
www.databend.com
www.datomic.comrocksdb.org
Technical documentationdocs.databend.comdocs.datomic.comgithub.com/­facebook/­rocksdb/­wiki
DeveloperDatabend LabsCognitectFacebook, Inc.
Initial release2013202120122013
Current release1.0.59, April 20231.0.7180, July 20249.4.0, June 2024
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache Version 2.0commercial infolimited edition freeOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoRustJava, ClojureC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hosted
Linux
macOS
All OS with a Java VMLinux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or datenoyesyesno
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 indexesnonoyesno
SQL infoSupport of SQLnoyesnono
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
RESTful HTTP APIC++ API
Java API
Supported programming languagesGoGo
Java
JavaScript (Node.js)
Python
Rust
Clojure
Java
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresnonoyes infoTransaction Functionsno
TriggersnonoBy using transaction functions
Partitioning methods infoMethods for storing different data on different nodesnonenonenone infoBut extensive use of caching in the application peershorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnonenonenone infoBut extensive use of caching in the application peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 developmentyes
User concepts infoAccess controlnoUsers with fine-grained authorization concept, user rolesnono

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More resources
BoltDBDatabendDatomicRocksDB
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