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DBMS > CockroachDB vs. Faircom EDGE vs. Hazelcast vs. Hyprcubd vs. NuoDB

System Properties Comparison CockroachDB vs. Faircom EDGE vs. Hazelcast vs. Hyprcubd vs. NuoDB

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonHazelcast  Xexclude from comparisonHyprcubd  Xexclude from comparisonNuoDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded 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.FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA widely adopted in-memory data gridServerless Time Series DBMSNuoDB is a webscale distributed database that supports SQL and ACID transactions
Primary database modelRelational DBMSKey-value store
Relational DBMS
Key-value storeTime Series DBMSRelational DBMS
Secondary database modelsDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.74
Rank#67  Overall
#36  Relational DBMS
Score0.02
Rank#370  Overall
#55  Key-value stores
#157  Relational DBMS
Score5.72
Rank#59  Overall
#6  Key-value stores
Score0.87
Rank#201  Overall
#94  Relational DBMS
Websitewww.cockroachlabs.comwww.faircom.com/­products/­faircom-edgehazelcast.comhyprcubd.com (offline)www.3ds.com/­nuodb-distributed-sql-database
Technical documentationwww.cockroachlabs.com/­docsdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlhazelcast.org/­imdg/­docsdoc.nuodb.com
DeveloperCockroach LabsFairCom CorporationHazelcastHyprcubd, Inc.Dassault Systèmes infooriginally NuoDB, Inc.
Initial release2015197920082013
Current release24.1.0, May 2024V3, October 20205.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercial infoRestricted, free version availableOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial infolimited edition free
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 languageGoANSI C, C++JavaGoC++
Server operating systemsLinux
macOS
Windows
Android
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMhostedhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Data schemedynamic schemaFlexible Schema (defined schema, partial schema, schema free)schema-freeyesyes
Typing infopredefined data types such as float or dateyesyes, ANSI Standard SQL Typesyesyes infotime, int, uint, float, stringyes
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.noyesyes infothe object must implement a serialization strategynono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLyes infoANSI SQL queriesSQL-like query languageSQL-like query languageyes
APIs and other access methodsJDBCADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
gRPC (https)ADO.NET
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++yes infoEvent Listeners, Executor ServicesnoJava, SQL
Triggersnoyesyes infoEventsnoyes
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 RAFTFile partitioning infoCustomizable business rules for partitioningShardingdata is dynamically stored/cached on the nodes where it is read/written
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoReplicated Mapyes infoManaged transparently by NuoDB
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDone or two-phase-commit; repeatable reads; read commitednoACID infotunable commit protocol
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesnoyes infoMVCC
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesnoyes infoTemporary table
User concepts infoAccess controlRole-based access controlFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Role-based access controltoken accessStandard SQL roles/ privileges, Administrative Users

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More resources
CockroachDBFaircom EDGE infoformerly c-treeEDGEHazelcastHyprcubdNuoDB
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