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DBMS > CockroachDB vs. Dragonfly vs. Hypertable vs. RavenDB

System Properties Comparison CockroachDB vs. Dragonfly vs. Hypertable vs. RavenDB

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonDragonfly  Xexclude from comparisonHypertable  Xexclude from comparisonRavenDB  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.A drop-in Redis replacement that scales vertically to support millions of operations per second and terabyte sized workloads, all on a single instanceAn open source BigTable implementation based on distributed file systems such as HadoopOpen Source Operational and Transactional Enterprise NoSQL Document Database
Primary database modelRelational DBMSKey-value storeWide column storeDocument store
Secondary database modelsGraph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.41
Rank#266  Overall
#38  Key-value stores
Score2.92
Rank#101  Overall
#18  Document stores
Websitewww.cockroachlabs.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
ravendb.net
Technical documentationwww.cockroachlabs.com/­docswww.dragonflydb.io/­docsravendb.net/­docs
DeveloperCockroach LabsDragonflyDB team and community contributorsHypertable Inc.Hibernating Rhinos
Initial release2015202320092010
Current release23.1.1, May 20231.0, March 20230.9.8.11, March 20165.4, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoBSL 1.1Open Source infoGNU version 3. Commercial license availableOpen Source infoAGPL version 3, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++C++C#
Server operating systemsLinux
macOS
Windows
LinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Raspberry Pi
Windows
Data schemedynamic schemascheme-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesstrings, hashes, lists, sets, sorted sets, bit arraysnono
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.nono
Secondary indexesyesnorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnonoSQL-like query language (RQL)
APIs and other access methodsJDBCProprietary protocol infoRESP - REdis Serialization ProtocolC++ API
Thrift
.NET Client API
F# Client API
Go Client API
Java Client API
NodeJS Client API
PHP Client API
Python Client API
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Clojure
D
Dart
Elixir
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
Objective-C
Perl
PHP
Python
R
Ruby
Rust
Scala
Swift
Tcl
C++
Java
Perl
PHP
Python
Ruby
.Net
C#
F#
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoLuanoyes
Triggersnopublish/subscribe channels provide some trigger functionalitynoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationselectable replication factor on file system levelMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyDefault ACID transactions on the local node (eventually consistent across the cluster). Atomic operations with cluster-wide ACID transactions. Eventual consistency for indexes and full-text search indexes.
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of command blocks and scriptsnoACID, Cluster-wide transaction available
Concurrency infoSupport for concurrent manipulation of datayesyes, strict serializability by the serveryesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlRole-based access controlPassword-based authenticationnoAuthorization levels configured per client per database

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More resources
CockroachDBDragonflyHypertableRavenDB
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