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DBMS > AgensGraph vs. Amazon SimpleDB vs. Firebird vs. Splice Machine vs. TDengine

System Properties Comparison AgensGraph vs. Amazon SimpleDB vs. Firebird vs. Splice Machine vs. TDengine

Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonFirebird  Xexclude from comparisonSplice Machine  Xexclude from comparisonTDengine  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreFirebird is an open source RDBMS forked from Borland's InterBaseOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkTime Series DBMS and big data platform
Primary database modelGraph DBMS
Relational DBMS
Key-value storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.23
Rank#315  Overall
#26  Graph DBMS
#140  Relational DBMS
Score1.88
Rank#133  Overall
#23  Key-value stores
Score20.50
Rank#30  Overall
#18  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score2.68
Rank#106  Overall
#9  Time Series DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­simpledbwww.firebirdsql.orgsplicemachine.comgithub.com/­taosdata/­TDengine
tdengine.com
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­simpledbwww.firebirdsql.org/­en/­reference-manualssplicemachine.com/­how-it-worksdocs.tdengine.com
DeveloperBitnine Global Inc.AmazonFirebird FoundationSplice MachineTDEngine, previously Taos Data
Initial release201620072000 infoAs fork of Borland's InterBase20142019
Current release2.1, December 20185.0.0, January 20243.1, March 20213.0, August 2022
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoInitial Developer's Public LicenseOpen Source infoAGPL 3.0, commercial license availableOpen Source infoAGPL V3, also commercial editions available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC and C++JavaC
Server operating systemsLinux
OS X
Windows
hostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
OS X
Solaris
Windows
Linux
Windows
Data schemedepending on used data modelschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesyes
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
Secondary indexesyesyes infoAll columns are indexed automaticallyyesyesno
SQL infoSupport of SQLyesnoyesyesStandard SQL with extensions for time-series applications
APIs and other access methodsCypher Query Language
JDBC
RESTful HTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
JDBC
Native Spark Datasource
ODBC
JDBC
RESTful HTTP API
Supported programming languagesC
Java
JavaScript
Python
.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnoPSQLyes infoJavano
Triggersnonoyesyesyes, via alarm monitoring
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritancenone infoSharding must be implemented in the applicationnoneShared Nothhing Auto-Sharding, Columnar PartitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyes, multi-version concurrency control (MVCC)yes
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.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Users with fine-grained authorization conceptAccess rights for users, groups and roles according to SQL-standardyes
More information provided by the system vendor
AgensGraphAmazon SimpleDBFirebirdSplice MachineTDengine
Specific characteristicsTDengine™ is a next generation data historian purpose-built for Industry 4.0 and...
» more
Competitive advantagesHigh Performance at any Scale: TDengine is purpose-built for handling massive industrial...
» more
Typical application scenariosTDengine is designed for Industrial IoT scenarios, including: Manufacturing Connected...
» more
Market metricsTDengine has garnered over 22,500 stars on GitHub and is used in over 50 countries...
» more
Licensing and pricing modelsTDengine OSS is an open source, cloud native time series database. It includes built-in...
» more
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