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DBMS > Amazon SimpleDB vs. Spark SQL vs. Sqrrl vs. Titan vs. Transbase

System Properties Comparison Amazon SimpleDB vs. Spark SQL vs. Sqrrl vs. Titan vs. Transbase

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSqrrl  Xexclude from comparisonTitan  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.Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreSpark SQL is a component on top of 'Spark Core' for structured data processingAdaptable, secure NoSQL built on Apache AccumuloTitan is a Graph DBMS optimized for distributed clusters.A resource-optimized, high-performance, universally applicable RDBMS
Primary database modelKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.11
Rank#341  Overall
#150  Relational DBMS
Websiteaws.amazon.com/­simpledbspark.apache.org/­sqlsqrrl.comgithub.com/­thinkaurelius/­titanwww.transaction.de/­en/­products/­transbase.html
Technical documentationdocs.aws.amazon.com/­simpledbspark.apache.org/­docs/­latest/­sql-programming-guide.htmlgithub.com/­thinkaurelius/­titan/­wikiwww.transaction.de/­en/­products/­transbase/­features.html
DeveloperAmazonApache Software FoundationAmazon infooriginally Sqrrl Data, Inc.Aurelius, owned by DataStaxTransaction Software GmbH
Initial release20072014201220121987
Current release3.5.0 ( 2.13), September 2023Transbase 8.3, 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache license, version 2.0commercial infofree development license
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageScalaJavaJavaC and C++
Server operating systemshostedLinux
OS X
Windows
LinuxLinux
OS X
Unix
Windows
FreeBSD
Linux
macOS
Solaris
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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 indexesyes infoAll columns are indexed automaticallynoyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnonoyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
Java
Python
R
Scala
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Clojure
Java
Python
C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python
Server-side scripts infoStored proceduresnononoyesyes
Triggersnononoyesyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationyes, utilizing Spark CoreSharding infomaking use of Hadoopyes infovia pluggable storage backends
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor infomaking use of HadoopyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Immediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.Eventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoAtomic updates per row, document, or graph entityACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
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 roles can be defined via the AWS Identity and Access Management (IAM)noCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)User authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBSpark SQLSqrrlTitanTransbase
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