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DBMS > Amazon Redshift vs. Cachelot.io vs. GBase vs. IBM Db2 Event Store vs. SwayDB

System Properties Comparison Amazon Redshift vs. Cachelot.io vs. GBase vs. IBM Db2 Event Store vs. SwayDB

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonCachelot.io  Xexclude from comparisonGBase  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionLarge scale data warehouse service for use with business intelligence toolsIn-memory caching systemWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Distributed Event Store optimized for Internet of Things use casesAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSKey-value storeRelational DBMSEvent Store
Time Series DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.88
Rank#35  Overall
#22  Relational DBMS
Score0.04
Rank#388  Overall
#62  Key-value stores
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.27
Rank#309  Overall
#2  Event Stores
#28  Time Series DBMS
Score0.04
Rank#387  Overall
#61  Key-value stores
Websiteaws.amazon.com/­redshiftcachelot.iowww.gbase.cnwww.ibm.com/­products/­db2-event-storeswaydb.simer.au
Technical documentationdocs.aws.amazon.com/­redshiftwww.ibm.com/­docs/­en/­db2-event-store
DeveloperAmazon (based on PostgreSQL)General Data Technology Co., Ltd.IBMSimer Plaha
Initial release20122015200420172018
Current releaseGBase 8a, GBase 8s, GBase 8c2.0
License infoCommercial or Open SourcecommercialOpen Source infoSimplified BSD Licensecommercialcommercial infofree developer edition availableOpen Source infoGNU Affero GPL V3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC++C, Java, PythonC and C++Scala
Server operating systemshostedFreeBSD
Linux
OS X
LinuxLinux infoLinux, macOS, Windows for the developer addition
Data schemeyesschema-freeyesyesschema-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.nonoyesnono
Secondary indexesrestrictednoyesnono
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoStandard with numerous extensionsyes infothrough the embedded Spark runtimeno
APIs and other access methodsJDBC
ODBC
Memcached protocolADO.NET
C API
JDBC
ODBC
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
OCaml
Perl
PHP
Python
Ruby
C#C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Java
Kotlin
Scala
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnouser defined functionsyesno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesActive-active shard replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesNo - written data is immutableyes
Durability infoSupport for making data persistentyesnoyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesfine grained access rights according to SQL-standardno

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More resources
Amazon RedshiftCachelot.ioGBaseIBM Db2 Event StoreSwayDB
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