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DBMS > Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. LevelDB vs. PouchDB

System Properties Comparison Dgraph vs. EsgynDB vs. Google Cloud Bigtable vs. LevelDB vs. PouchDB

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonLevelDB  Xexclude from comparisonPouchDB  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.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesJavaScript DBMS with an API inspired by CouchDB
Primary database modelGraph DBMSRelational DBMSKey-value store
Wide column store
Key-value storeDocument 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
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score2.28
Rank#115  Overall
#21  Document stores
Websitedgraph.iowww.esgyn.cncloud.google.com/­bigtablegithub.com/­google/­leveldbpouchdb.com
Technical documentationdgraph.io/­docscloud.google.com/­bigtable/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdpouchdb.com/­guides
DeveloperDgraph Labs, Inc.EsgynGoogleGoogleApache Software Foundation
Initial release20162015201520112012
Current release1.23, February 20217.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++, JavaC++JavaScript
Server operating systemsLinux
OS X
Windows
LinuxhostedIllumos
Linux
OS X
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnonono
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 indexesyesyesnonoyes infovia views
SQL infoSupport of SQLnoyesnonono
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)
HTTP REST infoonly for PouchDB Server
JavaScript API
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
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
JavaScript
Server-side scripts infoStored proceduresnoJava Stored ProceduresnonoView functions in JavaScript
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnoneSharding infowith a proxy-based framework, named couchdb-lounge
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 zonesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnoyes
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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)nono

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More resources
DgraphEsgynDBGoogle Cloud BigtableLevelDBPouchDB
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