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DBMS > GeoMesa vs. Google Cloud Bigtable vs. Oracle vs. Sadas Engine vs. Warp 10

System Properties Comparison GeoMesa vs. Google Cloud Bigtable vs. Oracle vs. Sadas Engine vs. Warp 10

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle  Xexclude from comparisonSadas Engine  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 RDBMSSADAS Engine is a columnar DBMS specifically designed for high performance in Data warehouse environmentsTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelSpatial DBMSKey-value store
Wide column store
Relational DBMSRelational DBMSTime 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
Score0.00
Rank#357  Overall
#155  Relational DBMS
Score0.18
Rank#293  Overall
#25  Time Series DBMS
Websitewww.geomesa.orgcloud.google.com/­bigtablewww.oracle.com/­databasewww.sadasengine.comwww.warp10.io
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­databasewww.sadasengine.com/­index.php/­downloads/­documentation-columnar-dbwww.warp10.io/­content/­02_Getting_started
DeveloperCCRi and othersGoogleOracleSADAS s.r.l.SenX
Initial release20142015198020062015
Current release3.2.0, April 202119c, February 20198.0
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercial inforestricted free version is availablecommercial infofree trial version availableOpen Source infoApache License 2.0
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 languageScalaC and C++C++Java
Server operating systemshostedAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
AIX
Linux
Windows
Linux
OS X
Windows
Data schemeyesschema-freeyes infoSchemaless in JSON and XML columnsyesschema-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.nonoyesnono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLnonoyes infowith proprietary extensionsyesno
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Proprietary protocol
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
C
C#
C++
Groovy
Java
PHP
Python
Server-side scripts infoStored proceduresnonoPL/SQL infoalso stored procedures in Java possiblenoyes infoWarpScript
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding, horizontal partitioninghorizontal partitioningSharding 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
noneselectable 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 ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsACID infoisolation level can be parameterizedno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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'yes infomanaged by 'Learn by Usage'yes
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-standardAccess rights for users, groups and roles according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
GeoMesaGoogle Cloud BigtableOracleSadas EngineWarp 10
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