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DBMS > Amazon DocumentDB vs. Brytlyt vs. dBASE vs. Google Cloud Bigtable vs. KairosDB

System Properties Comparison Amazon DocumentDB vs. Brytlyt vs. dBASE vs. Google Cloud Bigtable vs. KairosDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBrytlyt  Xexclude from comparisondBASE  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonKairosDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLdBase was one of the first databases with a development environment on PC's. Its latest version dBase V is still sold as dBase classic, which needs a DOS Emulation. The up-to-date product is dBase plus.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Distributed Time Series DBMS based on Cassandra or H2
Primary database modelDocument storeRelational DBMSRelational DBMSKey-value store
Wide column store
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Websiteaws.amazon.com/­documentdbbrytlyt.iowww.dbase.comcloud.google.com/­bigtablegithub.com/­kairosdb/­kairosdb
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.brytlyt.iowww.dbase.com/­support/­knowledgebasecloud.google.com/­bigtable/­docskairosdb.github.io
DeveloperBrytlytAsthon TateGoogle
Initial release20192016197920152013
Current release5.0, August 2023dBASE 2019, 20191.2.2, November 2018
License infoCommercial or Open SourcecommercialcommercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJava
Server operating systemshostedLinux
OS X
Windows
DOS infodBase Classic
Windows infodBase Pro
hostedLinux
OS X
Windows
Data schemeschema-freeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesnoyes
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesyesyesnono
SQL infoSupport of SQLnoyesnonono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
none infoThe IDE can access other DBMS or ODBC-sources.gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Graphite protocol
HTTP REST
Telnet API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Delphi
Java
Perl
Python
Tcl
dBase proprietary IDEC#
C++
Go
Java
JavaScript (Node.js)
Python
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLno infoThe IDE can access stored procedures in other database systems.nono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infobased on Cassandra
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationnoneInternal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infobased on Cassandra
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSAtomic single-row operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)simple password-based access control

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More resources
Amazon DocumentDBBrytlytdBASEGoogle Cloud BigtableKairosDB
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