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DBMS > Brytlyt vs. Google Cloud Bigtable vs. Hive vs. Oracle Coherence vs. SwayDB

System Properties Comparison Brytlyt vs. Google Cloud Bigtable vs. Hive vs. Oracle Coherence vs. SwayDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonHive  Xexclude from comparisonOracle Coherence  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.data warehouse software for querying and managing large distributed datasets, built on HadoopOracles 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
Relational DBMSKey-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.38
Rank#276  Overall
#127  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score1.97
Rank#129  Overall
#22  Key-value stores
Score0.04
Rank#387  Overall
#61  Key-value stores
Websitebrytlyt.iocloud.google.com/­bigtablehive.apache.orgwww.oracle.com/­java/­coherenceswaydb.simer.au
Technical documentationdocs.brytlyt.iocloud.google.com/­bigtable/­docscwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oracle.com/­en/­middleware/­standalone/­coherence
DeveloperBrytlytGoogleApache Software Foundation infoinitially developed by FacebookOracleSimer Plaha
Initial release20162015201220072018
Current release5.0, August 20233.1.3, April 202214.1, August 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2commercialOpen 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, C++ and CUDAJavaJavaScala
Server operating systemsLinux
OS X
Windows
hostedAll OS with a Java VMAll OS with a Java VM
Data schemeyesschema-freeyesschema-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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
Thrift
JCache
JPA
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
.Net
C++
Java
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyes infouser defined functions and integration of map-reducenono
Triggersyesnonoyes infoLive Eventsno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factoryes, with selectable consistency levelnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReducenono
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 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.noyesyes
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)Access rights for users, groups and rolesauthentification to access the cache via certificates or http basic authenticationno

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More resources
BrytlytGoogle Cloud BigtableHiveOracle CoherenceSwayDB
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