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

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

Editorial information provided by DB-Engines
NameEsgynDB  Xexclude from comparisonFirebird  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFirebird is an open source RDBMS forked from Borland's InterBaseGoogle'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 solutionAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Key-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.25
Rank#312  Overall
#138  Relational DBMS
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitewww.esgyn.cnwww.firebirdsql.orgcloud.google.com/­bigtablewww.oracle.com/­java/­coherenceswaydb.simer.au
Technical documentationwww.firebirdsql.org/­en/­reference-manualscloud.google.com/­bigtable/­docsdocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperEsgynFirebird FoundationGoogleOracleSimer Plaha
Initial release20152000 infoAs fork of Borland's InterBase201520072018
Current release5.0.0, January 202414.1, August 2023
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicensecommercialcommercialOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, JavaC and C++JavaScala
Server operating systemsLinuxAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
hostedAll OS with a Java VM
Data schemeyesyesschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexesyesyesnonono
SQL infoSupport of SQLyesyesnonono
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JCache
JPA
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
Java
Kotlin
Scala
Server-side scripts infoStored proceduresJava Stored ProceduresPSQLnonono
Triggersnoyesnoyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication between multi datacentersSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesyes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
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
Immediate Consistency
Foreign keys infoReferential integrityyesyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsconfigurableAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.nonoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization conceptAccess 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
EsgynDBFirebirdGoogle Cloud BigtableOracle CoherenceSwayDB
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