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DBMS > EXASOL vs. Google Cloud Bigtable vs. Oracle Coherence vs. PouchDB

System Properties Comparison EXASOL vs. Google Cloud Bigtable vs. Oracle Coherence vs. PouchDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Oracles in-memory data grid solutionJavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSKey-value store
Wide column store
Key-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#139  Overall
#62  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.97
Rank#129  Overall
#22  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Websitewww.exasol.comcloud.google.com/­bigtablewww.oracle.com/­java/­coherencepouchdb.com
Technical documentationwww.exasol.com/­resourcescloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherencepouchdb.com/­guides
DeveloperExasolGoogleOracleApache Software Foundation
Initial release2000201520072012
Current release14.1, August 20237.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScript
Server operating systemshostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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.nononono
Secondary indexesyesnonoyes infovia views
SQL infoSupport of SQLyesnonono
APIs and other access methods.Net
JDBC
ODBC
WebSocket
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJava
Lua
Python
R
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
JavaScript
Server-side scripts infoStored proceduresuser defined functionsnonoView functions in JavaScript
Triggersyesnoyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesyes, with selectable consistency levelMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationyesnoyes
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 Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsconfigurableno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infooptionallyyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)authentification to access the cache via certificates or http basic authenticationno

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More resources
EXASOLGoogle Cloud BigtableOracle CoherencePouchDB
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