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DBMS > Dolt vs. GeoMesa vs. Google Cloud Bigtable vs. Graphite vs. Teradata Aster

System Properties Comparison Dolt vs. GeoMesa vs. Google Cloud Bigtable vs. Graphite vs. Teradata Aster

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGraphite  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaGeoMesa 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 WhisperPlatform for big data analytics on multistructured data sources and types
Primary database modelRelational DBMSSpatial DBMSKey-value store
Wide column store
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.geomesa.orgcloud.google.com/­bigtablegithub.com/­graphite-project/­graphite-web
Technical documentationdocs.dolthub.comwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docsgraphite.readthedocs.io
DeveloperDoltHub IncCCRi and othersGoogleChris DavisTeradata
Initial release20182014201520062005
Current release4.0.5, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache License 2.0commercialOpen Source infoApache 2.0commercial
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 languageGoScalaPython
Server operating systemsLinux
macOS
Windows
hostedLinux
Unix
Linux
Data schemeyesyesschema-freeyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesyesnoNumeric data onlyyes
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.nonononoyes infoin Aster File Store
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLyesnononoyes
APIs and other access methodsCLI Client
HTTP REST
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
HTTP API
Sockets
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
JavaScript (Node.js)
Python
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenononoR packages
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnonedepending on storage layerShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.depending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesnoneyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes infoSQL Map-Reduce Framework
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)noneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingyes
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.depending on storage layernono
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupyes 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-standard

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More resources
DoltGeoMesaGoogle Cloud BigtableGraphiteTeradata Aster
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