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DBMS > CockroachDB vs. GigaSpaces vs. Hawkular Metrics vs. openGauss vs. Titan

System Properties Comparison CockroachDB vs. GigaSpaces vs. Hawkular Metrics vs. openGauss vs. Titan

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonopenGauss  Xexclude from comparisonTitan  Xexclude from comparison
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiTitan is a Graph DBMS optimized for distributed clusters.
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Time Series DBMSRelational DBMSGraph DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.00
Rank#379  Overall
#40  Time Series DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Websitewww.cockroachlabs.comwww.gigaspaces.comwww.hawkular.orggitee.com/­opengauss
opengauss.org
github.com/­thinkaurelius/­titan
Technical documentationwww.cockroachlabs.com/­docsdocs.gigaspaces.com/­latest/­landing.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidedocs.opengauss.org/­en
gitee.com/­opengauss/­docs
github.com/­thinkaurelius/­titan/­wiki
DeveloperCockroach LabsGigaspaces TechnologiesCommunity supported by Red HatHuawei and openGauss communityAurelius, owned by DataStax
Initial release20152000201420192012
Current release23.1.1, May 202315.5, September 20203.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availableOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache 2.0Open SourceOpen Source infoApache license, version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, C++, .NetJavaC, C++, JavaJava
Server operating systemsLinux
macOS
Windows
Linux
macOS
Solaris
Windows
Linux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
Data schemedynamic schemaschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLSQL-99 for query and DML statementsnoANSI SQL 2011no
APIs and other access methodsJDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
HTTP RESTJDBC
ODBC
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
.Net
C++
Java
Python
Scala
Go
Java
Python
Ruby
C
C++
Java
Clojure
Java
Python
Server-side scripts infoStored proceduresnoyesnoyesyes
Triggersnoyes, event driven architectureyes infovia Hawkular Alertingyesyes
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 infobased on Cassandrahorizontal partitioning (by range, list and hash)yes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
selectable replication factor infobased on CassandraSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnonoyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes infoRelationships in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlRole-based access controlRole-based access controlnoAccess rights for users, groups and roles according to SQL-standardUser authentification and security via Rexster Graph Server

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CockroachDBGigaSpacesHawkular MetricsopenGaussTitan
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