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DBMS > CockroachDB vs. Graph Engine vs. Lovefield vs. Quasardb

System Properties Comparison CockroachDB vs. Graph Engine vs. Lovefield vs. Quasardb

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Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonLovefield  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.A distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineEmbeddable relational database for web apps written in pure JavaScriptDistributed, high-performance timeseries database
Primary database modelRelational DBMSGraph DBMS
Key-value store
Relational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.cockroachlabs.comwww.graphengine.iogoogle.github.io/­lovefieldquasar.ai
Technical documentationwww.cockroachlabs.com/­docswww.graphengine.io/­docs/­manualgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddoc.quasar.ai/­master
DeveloperCockroach LabsMicrosoftGooglequasardb
Initial release2015201020142009
Current release23.1.1, May 20232.1.12, February 20173.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoMIT LicenseOpen Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGo.NET and CJavaScriptC++
Server operating systemsLinux
macOS
Windows
.NETserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariBSD
Linux
OS X
Windows
Data schemedynamic schemayesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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.nononono
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoSQL-like query language infovia JavaScript builder patternSQL-like query language
APIs and other access methodsJDBCRESTful HTTP APIHTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
F#
Visual Basic
JavaScript.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesnono
TriggersnonoUsing read-only observersno
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 RAFThorizontal partitioningnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTnoneSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infousing MemoryDByes infoTransient mode
User concepts infoAccess controlRole-based access controlnoCryptographically strong user authentication and audit trail

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More resources
CockroachDBGraph Engine infoformer name: TrinityLovefieldQuasardb
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