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DBMS > BigObject vs. EDB Postgres vs. HugeGraph vs. YDB

System Properties Comparison BigObject vs. EDB Postgres vs. HugeGraph vs. YDB

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisonEDB Postgres  Xexclude from comparisonHugeGraph  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.A fast-speed and highly-scalable Graph DBMSA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMSGraph DBMSDocument store
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score1.90
Rank#135  Overall
#63  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitebigobject.iowww.enterprisedb.comgithub.com/­hugegraph
hugegraph.apache.org
github.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.bigobject.iowww.enterprisedb.com/­docshugegraph.apache.org/­docsydb.tech/­en/­docs
DeveloperBigObject, Inc.EnterpriseDBBaiduYandex
Initial release2015200520182019
Current release14, December 20210.9
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercial infoBSD for PostgreSQL-componentsOpen Source infoApache Version 2.0Open Source infoApache 2.0; commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
Linux
Windows
Linux
macOS
Unix
Linux
Data schemeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infostandard with numerous extensionsnoSQL-like query language (YQL)
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API (DynamoDB compatible)
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Groovy
Java
Python
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresLuauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.asynchronous Gremlin script jobsno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning infoby hash, list or rangeyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBaseActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes, multi-version concurrency control (MVCC)yesyes
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.yesnoyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardUsers, roles and permissionsAccess rights defined for Yandex Cloud users

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More resources
BigObjectEDB PostgresHugeGraphYDB
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