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DBMS > CockroachDB vs. Google Cloud Bigtable vs. H2 vs. Sqrrl vs. TempoIQ

System Properties Comparison CockroachDB vs. Google Cloud Bigtable vs. H2 vs. Sqrrl vs. TempoIQ

Editorial information provided by DB-Engines
NameCockroachDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonH2  Xexclude from comparisonSqrrl  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.TempoIQ seems to be decommissioned. It will be removed 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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Adaptable, secure NoSQL built on Apache AccumuloScalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSKey-value store
Wide column store
Relational DBMSDocument 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
Score5.73
Rank#58  Overall
#34  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Websitewww.cockroachlabs.comcloud.google.com/­bigtablewww.h2database.comsqrrl.comtempoiq.com (offline)
Technical documentationwww.cockroachlabs.com/­docscloud.google.com/­bigtable/­docswww.h2database.com/­html/­main.html
DeveloperCockroach LabsGoogleThomas MuellerAmazon infooriginally Sqrrl Data, Inc.TempoIQ
Initial release20152015200520122012
Current release24.1.0, May 20242.2.220, July 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0, commercial license availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJavaJava
Server operating systemsLinux
macOS
Windows
hostedAll OS with a Java VMLinux
Data schemedynamic schemaschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesyes
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 indexesyesnoyesyes
SQL infoSupport of SQLyes, wire compatible with PostgreSQLnoyesnono
APIs and other access methodsJDBCgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
HTTP API
Supported programming languagesC#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaActionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresnonoJava Stored Procedures and User-Defined Functionsnono
Triggersnonoyesnoyes infoRealtime Alerts
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 RAFTShardingnoneSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using RAFTInternal replication in Colossus, and regional replication between two clusters in different zonesWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyesno
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 ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDAtomic updates per row, document, or graph entityno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.nonoyesno
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)simple authentication-based access control

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More resources
CockroachDBGoogle Cloud BigtableH2SqrrlTempoIQ infoformerly TempoDB
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