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DBMS > Axibase vs. CockroachDB vs. Google Cloud Bigtable vs. GridGain vs. UniData,UniVerse

System Properties Comparison Axibase vs. CockroachDB vs. Google Cloud Bigtable vs. GridGain vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameAxibase  Xexclude from comparisonCockroachDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGridGain  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on HBase with integrated rule engine and visualizationCockroachDB 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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.GridGain is an in-memory computing platform, built on Apache IgniteMultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelTime Series DBMSRelational DBMSKey-value store
Wide column store
Key-value store
Relational DBMS
Multivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#292  Overall
#25  Time Series DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score3.16
Rank#97  Overall
#2  Multivalue DBMS
Websiteaxibase.com/­docs/­atsd/­financewww.cockroachlabs.comcloud.google.com/­bigtablewww.gridgain.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationwww.cockroachlabs.com/­docscloud.google.com/­bigtable/­docswww.gridgain.com/­docs/­index.htmldocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperAxibase CorporationCockroach LabsGoogleGridGain Systems, Inc.Rocket Software
Initial release20132015201520071985
Current release1558523.1.1, May 2023GridGain 8.5.1
License infoCommercial or Open Sourcecommercial infoCommunity Edition (single node) is free, Enterprise Edition (distributed) is paidOpen Source infoApache 2.0, commercial license availablecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava, C++, .NetC
Server operating systemsLinuxLinux
macOS
Windows
hostedLinux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesdynamic schemaschema-freeyesschema-free
Typing infopredefined data types such as float or dateyes infoshort, integer, long, float, double, decimal, stringyesnoyesoptional
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.nononoyes
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query languageyes, wire compatible with PostgreSQLnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsJDBC
Proprietary protocol (Network API)
RESTful HTTP API
JDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesGo
Java
PHP
Python
R
Ruby
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresyesnonoyes (compute grid and cache interceptors can be used instead)yes
Triggersyesnonoyes (cache interceptors and events)yes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal 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 RAFTShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication using RAFTInternal replication in Colossus, and regional replication between two clusters in different zonesyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-row operationsACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.nonoyes
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Security Hooks for custom implementationsAccess rights according to SQL-standard and operating system based

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More resources
AxibaseCockroachDBGoogle Cloud BigtableGridGainUniData,UniVerse
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