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DBMS > Axibase vs. BigObject vs. CockroachDB vs. Dragonfly

System Properties Comparison Axibase vs. BigObject vs. CockroachDB vs. Dragonfly

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Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonBigObject  Xexclude from comparisonCockroachDB  Xexclude from comparisonDragonfly  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationAnalytic DBMS for real-time computations and queriesCockroachDB 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 instance
Primary database modelTime Series DBMSRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#282  Overall
#25  Time Series DBMS
Score0.19
Rank#329  Overall
#146  Relational DBMS
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score0.49
Rank#261  Overall
#38  Key-value stores
Websiteaxibase.com/­docs/­atsd/­financebigobject.iowww.cockroachlabs.comgithub.com/­dragonflydb/­dragonfly
www.dragonflydb.io
Technical documentationdocs.bigobject.iowww.cockroachlabs.com/­docswww.dragonflydb.io/­docs
DeveloperAxibase CorporationBigObject, Inc.Cockroach LabsDragonflyDB team and community contributors
Initial release2013201520152023
Current release1558524.1.0, May 20241.0, March 2023
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidcommercial infofree community edition availableOpen Source infoApache 2.0, commercial license availableOpen Source infoBSL 1.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaGoC++
Server operating systemsLinuxLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
macOS
Windows
Linux
Data schemeyesyesdynamic schemascheme-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesyesstrings, hashes, lists, sets, sorted sets, bit arrays
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 indexesnoyesyesno
SQL infoSupport of SQLSQL-like query languageSQL-like DML and DDL statementsyes, wire compatible with PostgreSQLno
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
fluentd
ODBC
RESTful HTTP API
JDBCProprietary protocol infoRESP - REdis Serialization Protocol
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C#
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
Server-side scripts infoStored proceduresyesLuanoLua
Triggersyesnonopublish/subscribe channels provide some trigger functionality
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal 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 RAFT
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneMulti-source replication using RAFTSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoautomatically between fact table and dimension tablesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDAtomic execution of command blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/write lock on objects (tables, trees)yesyes, strict serializability by the server
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.yesnoyes
User concepts infoAccess controlnoRole-based access controlPassword-based authentication

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More resources
AxibaseBigObjectCockroachDBDragonfly
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