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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Google Cloud Datastore vs. YugabyteDB

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. Google Cloud Datastore vs. YugabyteDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonYugabyteDB  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformHigh-performance distributed SQL database for global, internet-scale applications. Wire compatible with PostgreSQL.
Primary database modelGraph DBMSRelational DBMSWide column storeDocument storeRelational DBMS
Secondary database modelsDocument store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#127  Overall
#10  Graph DBMS
Score0.27
Rank#274  Overall
#127  Relational DBMS
Score3.98
Rank#85  Overall
#6  Wide column stores
Score4.38
Rank#80  Overall
#12  Document stores
Score1.21
Rank#159  Overall
#78  Relational DBMS
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablecloud.google.com/­datastorewww.yugabyte.com
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docscloud.google.com/­datastore/­docsdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
DeveloperDgraph Labs, Inc.EsgynGoogleGoogleYugabyte Inc.
Initial release20162015201520082017
Current release2.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++, JavaC and C++
Server operating systemsLinux
OS X
Windows
LinuxhostedhostedLinux
OS X
Data schemeschema-freeyesschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesnoyes, 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 indexesyesyesnoyesyes
SQL infoSupport of SQLnoyesnoSQL-like query language (GQL)yes, PostgreSQL compatible
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Python
Ruby
Server-side scripts infoStored proceduresnoJava Stored Proceduresnousing Google App Engineyes infosql, plpgsql, C
TriggersnononoCallbacks using the Google Apps Engineyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingHash and Range Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replication using PaxosBased on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
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 ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate 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.Strong consistency on writes and tunable consistency on reads
Foreign keys infoReferential integritynoyesnoyes infovia ReferenceProperties or Ancestor pathsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infobased on RocksDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlno infoPlanned for future releasesfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yes
More information provided by the system vendor
DgraphEsgynDBGoogle Cloud BigtableGoogle Cloud DatastoreYugabyteDB
Competitive advantagesHorizontally scalable transactional graph database with fast arbitrary-depth joins...
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More resources
DgraphEsgynDBGoogle Cloud BigtableGoogle Cloud DatastoreYugabyteDB
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