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

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

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHarperDB  Xexclude from comparisonOpenTSDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionEnterprise-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 HBaseMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSKey-value store
Wide column store
Document storeTime Series DBMSDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score3.19
Rank#93  Overall
#16  Document stores
#7  Graph DBMS
#14  Key-value stores
Websitewww.esgyn.cncloud.google.com/­bigtablewww.harperdb.ioopentsdb.netorientdb.org
Technical documentationcloud.google.com/­bigtable/­docsdocs.harperdb.io/­docsopentsdb.net/­docs/­build/­html/­index.htmlwww.orientdb.com/­docs/­last/­index.html
DeveloperEsgynGoogleHarperDBcurrently maintained by Yahoo and other contributorsOrientDB LTD; CallidusCloud; SAP
Initial release20152015201720112010
Current release3.1, August 20213.2.29, March 2024
License infoCommercial or Open Sourcecommercialcommercialcommercial infofree community edition availableOpen Source infoLGPLOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaNode.jsJavaJava
Server operating systemsLinuxhostedLinux
OS X
Linux
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freedynamic schemaschema-freeschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesnoyes infoJSON data typesnumeric data for metrics, strings for tagsyes
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 indexesyesnoyesnoyes
SQL infoSupport of SQLyesnoSQL-like data manipulation statementsnoSQL-like query language, no joins
APIs and other access methodsADO.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
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesAll 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
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresnoCustom Functions infosince release 3.1noJava, Javascript
TriggersnonononoHooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingA table resides as a whole on one (or more) nodes in a clusterSharding infobased on HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-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 HBaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integrityyesnononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsAtomic execution of specific operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, using LMDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesno
User concepts infoAccess controlfine 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 rolesnoAccess rights for users and roles; record level security configurable

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More resources
EsgynDBGoogle Cloud BigtableHarperDBOpenTSDBOrientDB
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