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DBMS > GeoMesa vs. Google Cloud Bigtable vs. Oracle vs. Oracle Berkeley DB vs. Warp 10

System Properties Comparison GeoMesa vs. Google Cloud Bigtable vs. Oracle vs. Oracle Berkeley DB vs. Warp 10

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonWarp 10  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.Widely used RDBMSWidely used in-process key-value storeTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSpatial DBMSKey-value store
Wide column store
Relational DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Time Series DBMS
Secondary database modelsDocument store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.77
Rank#201  Overall
#4  Spatial DBMS
Score4.84
Rank#80  Overall
#13  Key-value stores
#6  Wide column stores
Score1260.80
Rank#1  Overall
#1  Relational DBMS
Score2.87
Rank#107  Overall
#20  Key-value stores
#3  Native XML DBMS
Score0.18
Rank#293  Overall
#25  Time Series DBMS
Websitewww.geomesa.orgcloud.google.com/­bigtablewww.oracle.com/­databasewww.oracle.com/­technetwork/­database/­database-technologies/­berkeleydb/­overview/­index.htmlwww.warp10.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­databasedocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperCCRi and othersGoogleOracleOracle infooriginally developed by Sleepycat, which was acquired by OracleSenX
Initial release20142015198019942015
Current release3.2.0, April 202119c, February 201918.1.40, May 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial inforestricted free version is availableOpen Source infocommercial license availableOpen Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC and C++C, Java, C++ (depending on the Berkeley DB edition)Java
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes infoSchemaless in JSON and XML columnsschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesnoyes
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.nonoyesyes infoonly with the Berkeley DB XML editionno
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnonoyes infowith proprietary extensionsyes infoSQL interfaced based on SQLite is availableno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
HTTP API
Jupyter
WebSocket
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored proceduresnonoPL/SQL infoalso stored procedures in Java possiblenoyes infoWarpScript
Triggersnonoyesyes infoonly for the SQL APIno
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding, horizontal partitioningnoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesno infocan be realized in PL/SQLnono
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)Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACID infoisolation level can be parameterizedACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 layernoyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yesyes
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)fine grained access rights according to SQL-standardnoMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
GeoMesaGoogle Cloud BigtableOracleOracle Berkeley DBWarp 10
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