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DBMS > AgensGraph vs. GeoMesa vs. Google Cloud Bigtable vs. Percona Server for MongoDB

System Properties Comparison AgensGraph vs. GeoMesa vs. Google Cloud Bigtable vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLGeoMesa 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 drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelGraph DBMS
Relational DBMS
Spatial DBMSKey-value store
Wide column store
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.60
Rank#246  Overall
#39  Document stores
Websitebitnine.net/­agensgraphwww.geomesa.orgcloud.google.com/­bigtablewww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationbitnine.net/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­bigtable/­docsdocs.percona.com/­percona-distribution-for-mongodb
DeveloperBitnine Global Inc.CCRi and othersGooglePercona
Initial release2016201420152015
Current release2.1, December 20185.0.0, May 20243.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache License 2.0Open Source infoApache License 2.0commercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCScalaC++
Server operating systemsLinux
OS X
Windows
hostedLinux
Data schemedepending on used data modelyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesyesyesnoyes
SQL infoSupport of SQLyesnonono
APIs and other access methodsCypher Query Language
JDBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
proprietary protocol using JSON
Supported programming languagesC
Java
JavaScript
Python
C#
C++
Go
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyesnonoJavaScript
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancedepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationdepending on storage layerInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layernoyes infovia In-Memory Engine
User concepts infoAccess controlfine grained access rights according to SQL-standardyes infodepending on the DBMS used for storageAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users and roles

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More resources
AgensGraphGeoMesaGoogle Cloud BigtablePercona Server for MongoDB
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