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DBMS > Datomic vs. GigaSpaces vs. Google Cloud Bigtable vs. Kingbase vs. SwayDB

System Properties Comparison Datomic vs. GigaSpaces vs. Google Cloud Bigtable vs. Kingbase vs. SwayDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKingbase  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.An embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Key-value store
Wide column store
Relational DBMSKey-value store
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.45
Rank#262  Overall
#123  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitewww.datomic.comwww.gigaspaces.comcloud.google.com/­bigtablewww.kingbase.com.cnswaydb.simer.au
Technical documentationdocs.datomic.comdocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­bigtable/­docs
DeveloperCognitectGigaspaces TechnologiesGoogleBeiJing KINGBASE Information technologies inc.Simer Plaha
Initial release20122000201519992018
Current release1.0.6735, June 202315.5, September 2020V8.0, August 2021
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache Version 2; Commercial licenses availablecommercialcommercialOpen 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 languageJava, ClojureJava, C++, .NetC and JavaScala
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
hostedLinux
Windows
Data schemeyesschema-freeschema-freeyesschema-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.nono infoXML can be used for describing objects metadatanoyesno
Secondary indexesyesyesnoyesno
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnoStandard with numerous extensionsno
APIs and other access methodsRESTful HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesClojure
Java
.Net
C++
Java
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesnouser defined functionsno
TriggersBy using transaction functionsyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Internal replication in Colossus, and regional replication between two clusters in different zonesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnoyes
User concepts infoAccess controlnoRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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DatomicGigaSpacesGoogle Cloud BigtableKingbaseSwayDB
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