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DBMS > GeoMesa vs. Google Cloud Bigtable vs. Graphite vs. IBM Db2 Event Store vs. Transbase

System Properties Comparison GeoMesa vs. Google Cloud Bigtable vs. Graphite vs. IBM Db2 Event Store vs. Transbase

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonTransbase  Xexclude from comparison
DescriptionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperDistributed Event Store optimized for Internet of Things use casesA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelSpatial DBMSKey-value store
Wide column store
Time Series DBMSEvent Store
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websitewww.geomesa.orgcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­db2-event-storewww.transaction.de/­en/­products/­transbase.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docsgraphite.readthedocs.iowww.ibm.com/­docs/­en/­db2-event-storewww.transaction.de/­en/­products/­transbase/­features.html
DeveloperCCRi and othersGoogleChris DavisIBMTransaction Software GmbH
Initial release20142015200620171987
Current release5.0.0, May 20242.0Transbase 8.3, 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0commercial infofree developer edition availablecommercial infofree development license
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageScalaPythonC and C++C and C++
Server operating systemshostedLinux
Unix
Linux infoLinux, macOS, Windows for the developer additionFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoNumeric data onlyyesyes
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.nonononono
Secondary indexesyesnononoyes
SQL infoSupport of SQLnononoyes infothrough the embedded Spark runtimeyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyesyes
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesnoneActive-active shard replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemdepending on storage layerImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)noneEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsnonoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingNo - written data is immutableyes
Durability infoSupport for making data persistentyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.depending on storage layernoyesno
User concepts infoAccess controlyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)nofine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GeoMesaGoogle Cloud BigtableGraphiteIBM Db2 Event StoreTransbase
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