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DBMS > Amazon Aurora vs. FileMaker vs. Google Cloud Bigtable vs. Sqrrl vs. Transbase

System Properties Comparison Amazon Aurora vs. FileMaker vs. Google Cloud Bigtable vs. Sqrrl vs. Transbase

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonFileMaker  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonSqrrl  Xexclude from comparisonTransbase  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonFileMaker is a cross-platform RDBMS that includes a GUI frontend.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Adaptable, secure NoSQL built on Apache AccumuloA resource-optimized, high-performance, universally applicable RDBMS
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Document store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score47.91
Rank#20  Overall
#14  Relational DBMS
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.17
Rank#334  Overall
#148  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.claris.com/­filemakercloud.google.com/­bigtablesqrrl.comwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.claris.com/­resources/­documentationcloud.google.com/­bigtable/­docswww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAmazonClaris infoa subsidiary of AppleGoogleAmazon infooriginally Sqrrl Data, Inc.Transaction Software GmbH
Initial release20151983201520121987
Current release19.4.1, November 2021Transbase 8.3, 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercialcommercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC and C++
Server operating systemshostediOS infoclient part only
Linux
OS X
Windows
hostedLinuxFreeBSD
Linux
macOS
Solaris
Windows
Data schemeyesyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyesyes
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.yesyes infoA http query request can return the data in XML formatnono
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLyesyes infovia pluginsnonoyes
APIs and other access methodsADO.NET
JDBC
ODBC
Filemaker WebDirect
JDBC
ODBC
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
PHPC#
C++
Go
Java
JavaScript (Node.js)
Python
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresyesyesnonoyes
Triggersyesyesnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication, warm standby infosince Version 14Internal replication in Colossus, and regional replication between two clusters in different zonesselectable replication factor infomaking use of HadoopSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Immediate Consistency
Foreign keys infoReferential integrityyesyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic single-row operationsAtomic updates per row, document, or graph entityyes
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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Cell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)fine grained access rights according to SQL-standard

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More resources
Amazon AuroraFileMakerGoogle Cloud BigtableSqrrlTransbase
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