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DBMS > Cubrid vs. EsgynDB vs. Google Cloud Bigtable vs. HarperDB vs. OpenTSDB

System Properties Comparison Cubrid vs. EsgynDB vs. Google Cloud Bigtable vs. HarperDB vs. OpenTSDB

Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparisonOpenTSDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPEnterprise-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.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Scalable Time Series DBMS based on HBase
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Document storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score0.16
Rank#329  Overall
#146  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.55
Rank#248  Overall
#38  Document stores
Score1.68
Rank#146  Overall
#12  Time Series DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.esgyn.cncloud.google.com/­bigtablewww.harperdb.ioopentsdb.net
Technical documentationcubrid.org/­manualscloud.google.com/­bigtable/­docsdocs.harperdb.io/­docsopentsdb.net/­docs/­build/­html/­index.html
DeveloperCUBRID Corporation, CUBRID FoundationEsgynGoogleHarperDBcurrently maintained by Yahoo and other contributors
Initial release20082015201520172011
Current release11.0, January 20213.1, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial infofree community edition availableOpen Source infoLGPL
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++, JavaNode.jsJava
Server operating systemsLinux
Windows
LinuxhostedLinux
OS X
Linux
Windows
Data schemeyesyesschema-freedynamic schemaschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infoJSON data typesnumeric data for metrics, strings for tags
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 indexesyesyesnoyesno
SQL infoSupport of SQLyesyesnoSQL-like data manipulation statementsno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
HTTP API
Telnet API
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
Erlang
Go
Java
Python
R
Ruby
Server-side scripts infoStored proceduresJava Stored ProceduresJava Stored ProceduresnoCustom Functions infosince release 3.1no
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication between multi datacentersInternal replication in Colossus, and regional replication between two clusters in different zonesyes infothe nodes on which a table resides can be definedselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesnono
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 ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, using LMDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardfine 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 and rolesno

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More resources
CubridEsgynDBGoogle Cloud BigtableHarperDBOpenTSDB
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