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DBMS > BaseX vs. Brytlyt vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable

System Properties Comparison BaseX vs. Brytlyt vs. Dgraph vs. EsgynDB vs. Google Cloud Bigtable

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonBrytlyt  Xexclude from comparisonDgraph  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLDistributed 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.
Primary database modelNative XML DBMSRelational DBMSGraph DBMSRelational DBMSKey-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.29
Rank#288  Overall
#131  Relational DBMS
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
Websitebasex.orgbrytlyt.iodgraph.iowww.esgyn.cncloud.google.com/­bigtable
Technical documentationdocs.basex.orgdocs.brytlyt.iodgraph.io/­docscloud.google.com/­bigtable/­docs
DeveloperBaseX GmbHBrytlytDgraph Labs, Inc.EsgynGoogle
Initial release20072016201620152015
Current release10.7, August 20235.0, August 2023
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++ and CUDAGoC++, Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Linuxhosted
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesyesno
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesyesyesyesno
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
GraphQL 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)
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesuser defined functions infoin PL/pgSQLnoJava Stored Proceduresno
Triggersyes infovia eventsyesnonono
Partitioning methods infoMethods for storing different data on different nodesnoneyesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSynchronous replication via RaftMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zones
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDACIDACIDAtomic single-row operations
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.nono
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standardno 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)

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More resources
BaseXBrytlytDgraphEsgynDBGoogle Cloud Bigtable
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