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DBMS > Amazon SimpleDB vs. Apache Impala vs. BigchainDB vs. Lovefield vs. TimesTen

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. BigchainDB vs. Lovefield vs. TimesTen

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonBigchainDB  Xexclude from comparisonLovefield  Xexclude from comparisonTimesTen  Xexclude from comparison
DescriptionHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAnalytic DBMS for HadoopBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsEmbeddable relational database for web apps written in pure JavaScriptAn in-memory SQL relational database that delivers microsecond response and high throughput for OLTP applications. TimesTen can be deployed as a standalone database or as a cache to a backend Oracle database.
Primary database modelKey-value storeRelational DBMSDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#128  Overall
#22  Key-value stores
Score10.63
Rank#40  Overall
#24  Relational DBMS
Score0.76
Rank#216  Overall
#36  Document stores
Score0.22
Rank#306  Overall
#138  Relational DBMS
Score1.26
Rank#164  Overall
#75  Relational DBMS
Websiteaws.amazon.com/­simpledbimpala.apache.orgwww.bigchaindb.comgoogle.github.io/­lovefieldwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmlbigchaindb.readthedocs.io/­en/­latestgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.oracle.com/­en/­database/­other-databases/­timesten/­index.html
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaGoogleOracle infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20072013201620141998
Current release4.1.0, June 20222.1.12, February 2017Release 22.1
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoAGPL v3Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonJavaScript
Server operating systemshostedLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariIBM AIX Power PC 64-bit
Linux arm64
Linux x86-64
Solaris SPARC 64
Solaris SPARC/x86
Solaris x86-64
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesnoyesyes
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.nononono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoSQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
CLI Client
RESTful HTTP API
ODBC
ODP.NET
Oracle Call Interface (OCI)
Pro*C/C++ programming interfaces
SQL and PL/SQL via JDBC
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCGo
Haskell
Java
JavaScript
Python
Ruby
JavaScriptC
C++
Java
Node.js
PL/SQL
Python
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenoPL/SQL
TriggersnonoUsing read-only observersno
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorselectable replication factornoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes,with MongoDB ord RethinkDByes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users, groups and roles infobased on Apache Sentry and Kerberosyesnofine grained access rights according to SQL-standard

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More resources
Amazon SimpleDBApache ImpalaBigchainDBLovefieldTimesTen
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