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DBMS > EsgynDB vs. Google Cloud Bigtable vs. Hyprcubd vs. LevelDB vs. OrientDB

System Properties Comparison EsgynDB vs. Google Cloud Bigtable vs. Hyprcubd vs. LevelDB vs. OrientDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHyprcubd  Xexclude from comparisonLevelDB  Xexclude from comparisonOrientDB  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
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.Serverless Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSKey-value storeDocument store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score2.25
Rank#115  Overall
#19  Key-value stores
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websitewww.esgyn.cncloud.google.com/­bigtablehyprcubd.com (offline)github.com/­google/­leveldborientdb.org
Technical documentationcloud.google.com/­bigtable/­docsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.orientdb.com/­docs/­last/­index.html
DeveloperEsgynGoogleHyprcubd, Inc.GoogleOrientDB LTD; CallidusCloud; SAP
Initial release2015201520112010
Current release1.23, February 20213.2.29, March 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSDOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++, JavaGoC++Java
Server operating systemsLinuxhostedhostedIllumos
Linux
OS X
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyesschema-freeyesschema-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 infotime, int, uint, float, stringnoyes
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 indexesyesnononoyes
SQL infoSupport of SQLyesnoSQL-like query languagenoSQL-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)
gRPC (https)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
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresnononoJava, Javascript
TriggersnonononoHooks
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
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 zonesnoneMulti-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)Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnononoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
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)token accessnoAccess rights for users and roles; record level security configurable

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More resources
EsgynDBGoogle Cloud BigtableHyprcubdLevelDBOrientDB
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