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DBMS > CockroachDB vs. Firebird vs. LevelDB vs. Microsoft Azure Cosmos DB vs. Quasardb

System Properties Comparison CockroachDB vs. Firebird vs. LevelDB vs. Microsoft Azure Cosmos DB vs. Quasardb

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonFirebird  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonQuasardb  Xexclude from comparison
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.Firebird is an open source RDBMS forked from Borland's InterBaseEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesGlobally distributed, horizontally scalable, multi-model database serviceDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSKey-value storeDocument store
Graph DBMS
Key-value store
Wide column store
Time Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.cockroachlabs.comwww.firebirdsql.orggithub.com/­google/­leveldbazure.microsoft.com/­services/­cosmos-dbquasar.ai
Technical documentationwww.cockroachlabs.com/­docswww.firebirdsql.org/­en/­reference-manualsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdlearn.microsoft.com/­azure/­cosmos-dbdoc.quasar.ai/­master
DeveloperCockroach LabsFirebird FoundationGoogleMicrosoftquasardb
Initial release20152000 infoAs fork of Borland's InterBase201120142009
Current release23.1.1, May 20235.0.0, January 20241.23, February 20213.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoInitial Developer's Public LicenseOpen Source infoBSDcommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC and C++C++C++
Server operating systemsLinux
macOS
Windows
AIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Illumos
Linux
OS X
Windows
hostedBSD
Linux
OS X
Windows
Data schemedynamic schemayesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infoJSON typesyes infointeger and binary
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.nonono
Secondary indexesyesyesnoyes infoAll properties auto-indexed by defaultyes infowith tags
SQL infoSupport of SQLyes, wire compatible with PostgreSQLyesnoSQL-like query languageSQL-like query language
APIs and other access methodsJDBCADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoPSQLnoJavaScriptno
TriggersnoyesnoJavaScriptno
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 RAFTnonenoneSharding infoImplicit feature of the cloud serviceSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTSource-replica replicationnoneyes infoImplicit feature of the cloud serviceSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*with Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient mode
User concepts infoAccess controlRole-based access controlUsers with fine-grained authorization conceptnoAccess rights can be defined down to the item levelCryptographically strong user authentication and audit trail

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CockroachDBFirebirdLevelDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBQuasardb
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