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DBMS > GeoMesa vs. Google Cloud Bigtable vs. Microsoft Azure Table Storage vs. ObjectBox vs. SAP SQL Anywhere

System Properties Comparison GeoMesa vs. Google Cloud Bigtable vs. Microsoft Azure Table Storage vs. ObjectBox vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonObjectBox  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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.A Wide Column Store for rapid development using massive semi-structured datasetsExtremely fast embedded database for small devices, IoT and MobileRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelSpatial DBMSKey-value store
Wide column store
Wide column storeObject oriented DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score4.25
Rank#79  Overall
#43  Relational DBMS
Websitewww.geomesa.orgcloud.google.com/­bigtableazure.microsoft.com/­en-us/­services/­storage/­tablesobjectbox.iowww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docsdocs.objectbox.iohelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCCRi and othersGoogleMicrosoftObjectBox LimitedSAP infoformerly Sybase
Initial release20142015201220171992
Current release4.0.5, February 202417, July 2015
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialcommercialOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaC and C++
Server operating systemshostedhostedAndroid
iOS
Linux
macOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freeyesyes
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.nonononoyes
Secondary indexesyesnonoyesyes
SQL infoSupport of SQLnonononoyes
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
RESTful HTTP APIProprietary native APIADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonononoyes, in C/C++, Java, .Net or Perl
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesdepending on storage layerShardingSharding infoImplicit feature of the cloud servicenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.online/offline synchronization between client and serverSource-replica replication infoDatabase mirroring
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)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic single-row operationsoptimistic lockingACIDACID
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 layernononoyes
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)Access rights based on private key authentication or shared access signaturesyesfine grained access rights according to SQL-standard
More information provided by the system vendor
GeoMesaGoogle Cloud BigtableMicrosoft Azure Table StorageObjectBoxSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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More resources
GeoMesaGoogle Cloud BigtableMicrosoft Azure Table StorageObjectBoxSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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