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DBMS > Datomic vs. Google Cloud Bigtable vs. OpenTSDB vs. Postgres-XL

System Properties Comparison Datomic vs. Google Cloud Bigtable vs. OpenTSDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOpenTSDB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Scalable Time Series DBMS based on HBaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.68
Rank#142  Overall
#12  Time Series DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitewww.datomic.comcloud.google.com/­bigtableopentsdb.netwww.postgres-xl.org
Technical documentationdocs.datomic.comcloud.google.com/­bigtable/­docsopentsdb.net/­docs/­build/­html/­index.htmlwww.postgres-xl.org/­documentation
DeveloperCognitectGooglecurrently maintained by Yahoo and other contributors
Initial release2012201520112014 infosince 2012, originally named StormDB
Current release1.0.7075, December 202310 R1, October 2018
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoLGPLOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaC
Server operating systemsAll OS with a Java VMhostedLinux
Windows
Linux
macOS
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnonumeric data for metrics, strings for tagsyes
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 infoXML type, but no XML query functionality
Secondary indexesyesnonoyes
SQL infoSupport of SQLnononoyes infodistributed, parallel query execution
APIs and other access methodsRESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Telnet API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesClojure
Java
C#
C++
Go
Java
JavaScript (Node.js)
Python
Erlang
Go
Java
Python
R
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonouser defined functions
TriggersBy using transaction functionsnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentnonono
User concepts infoAccess controlnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standard

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More resources
DatomicGoogle Cloud BigtableOpenTSDBPostgres-XL
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