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DBMS > EsgynDB vs. Google Cloud Bigtable vs. OpenMLDB vs. Oracle Coherence vs. SwayDB

System Properties Comparison EsgynDB vs. Google Cloud Bigtable vs. OpenMLDB vs. Oracle Coherence vs. SwayDB

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOpenMLDB  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSwayDB  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.An open-source machine learning database that provides a feature platform for training and inferenceOracles in-memory data grid solutionAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSKey-value store
Wide column store
Time Series DBMSKey-value storeKey-value store
Secondary database modelsRelational DBMS
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
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.esgyn.cncloud.google.com/­bigtableopenmldb.aiwww.oracle.com/­java/­coherenceswaydb.simer.au
Technical documentationcloud.google.com/­bigtable/­docsopenmldb.ai/­docs/­zh/­maindocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperEsgynGoogle4 Paradigm Inc.OracleSimer Plaha
Initial release20152015202020072018
Current release2024-2 February 202414.1, August 2023
License infoCommercial or Open SourcecommercialcommercialOpen SourcecommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC++, Java, ScalaJavaScala
Server operating systemsLinuxhostedLinuxAll OS with a Java VM
Data schemeyesschema-freeFixed schemaschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesyesno
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 indexesyesnoyesnono
SQL infoSupport of SQLyesnoyesnono
APIs and other access methodsADO.NET
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
SQLAlchemy
JCache
JPA
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Go
Java
Python
Scala
.Net
C++
Java
Java
Kotlin
Scala
Server-side scripts infoStored proceduresJava Stored Proceduresnononono
Triggersnononoyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioningShardingnone
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 zonesSource-replica replicationyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnono
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 ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsnoconfigurableAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyesyes
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)fine grained access rights according to SQL-standardauthentification to access the cache via certificates or http basic authenticationno

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More resources
EsgynDBGoogle Cloud BigtableOpenMLDBOracle CoherenceSwayDB
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