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DBMS > Dgraph vs. EsgynDB vs. GeoMesa vs. Google Cloud Datastore vs. Oracle Coherence

System Properties Comparison Dgraph vs. EsgynDB vs. GeoMesa vs. Google Cloud Datastore vs. Oracle Coherence

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOracle Coherence  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformOracles in-memory data grid solution
Primary database modelGraph DBMSRelational DBMSSpatial DBMSDocument storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score0.78
Rank#213  Overall
#4  Spatial DBMS
Score4.47
Rank#76  Overall
#12  Document stores
Score1.92
Rank#130  Overall
#22  Key-value stores
Websitedgraph.iowww.esgyn.cnwww.geomesa.orgcloud.google.com/­datastorewww.oracle.com/­java/­coherence
Technical documentationdgraph.io/­docswww.geomesa.org/­documentation/­stable/­user/­index.htmlcloud.google.com/­datastore/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperDgraph Labs, Inc.EsgynCCRi and othersGoogleOracle
Initial release20162015201420082007
Current release4.0.5, February 202414.1, August 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache License 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaScalaJava
Server operating systemsLinux
OS X
Windows
LinuxhostedAll OS with a Java VM
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, details hereyes
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.nonononono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesnoSQL-like query language (GQL)no
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JCache
JPA
RESTful HTTP API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Java
Server-side scripts infoStored proceduresnoJava Stored Proceduresnousing Google App Engineno
TriggersnononoCallbacks using the Google Apps Engineyes infoLive Events
Partitioning methods infoMethods for storing different data on different nodesyesShardingdepending on storage layerShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersdepending on storage layerMulti-source replication using Paxosyes, with selectable consistency level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencydepending on storage layerImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesnoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infooptionally
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nodepending on storage layernoyes
User concepts infoAccess controlno infoPlanned for future releasesfine 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)authentification to access the cache via certificates or http basic authentication

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More resources
DgraphEsgynDBGeoMesaGoogle Cloud DatastoreOracle Coherence
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