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DBMS > Amazon SimpleDB vs. Apache IoTDB vs. CockroachDB vs. dBASE vs. HBase

System Properties Comparison Amazon SimpleDB vs. Apache IoTDB vs. CockroachDB vs. dBASE vs. HBase

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache IoTDB  Xexclude from comparisonCockroachDB  Xexclude from comparisondBASE  Xexclude from comparisonHBase  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 ScioreAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkCockroachDB is a distributed database architected for modern cloud applications. It is wire compatible with PostgreSQL and backed by a Key-Value Store, which is either RocksDB or a purpose-built derivative, called Pebble.dBase 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.Wide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelKey-value storeTime Series DBMSRelational DBMSRelational DBMSWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#138  Overall
#24  Key-value stores
Score1.18
Rank#173  Overall
#15  Time Series DBMS
Score6.15
Rank#55  Overall
#33  Relational DBMS
Score10.34
Rank#44  Overall
#28  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Websiteaws.amazon.com/­simpledbiotdb.apache.orgwww.cockroachlabs.comwww.dbase.comhbase.apache.org
Technical documentationdocs.aws.amazon.com/­simpledbiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlwww.cockroachlabs.com/­docswww.dbase.com/­support/­knowledgebasehbase.apache.org/­book.html
DeveloperAmazonApache Software FoundationCockroach LabsAsthon TateApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release20072018201519792008
Current release1.1.0, April 202323.1.1, May 2023dBASE 2019, 20192.3.4, January 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0, commercial license availablecommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJava
Server operating systemshostedAll OS with a Java VM (>= 1.8)Linux
macOS
Windows
DOS infodBase Classic
Windows infodBase Pro
Linux
Unix
Windows infousing Cygwin
Data schemeschema-freeyesdynamic schemayesschema-free, schema definition possible
Typing infopredefined data types such as float or datenoyesyesyesoptions to bring your own types, AVRO
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.nonono
Secondary indexesyes infoAll columns are indexed automaticallyyesyesyesno
SQL infoSupport of SQLnoSQL-like query languageyes, wire compatible with PostgreSQLnono
APIs and other access methodsRESTful HTTP APIJDBC
Native API
JDBCnone infoThe IDE can access other DBMS or ODBC-sources.Java API
RESTful HTTP API
Thrift
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
Python
Scala
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
dBase proprietary IDEC
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoyesnono infoThe IDE can access stored procedures in other database systems.yes infoCoprocessors in Java
Triggersnoyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationhorizontal partitioning (by time range) + vertical partitioning (by deviceId)horizontal partitioning (by key range) infoall tables are translated to an ordered KV store and then broken down into 64MB ranges, which are then used as replicas in RAFTnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication using RAFTnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoIntegration with Hadoop and Sparknonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be specified for read operations
Eventual Consistency
Strong Consistency with Raft
Immediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoACIDno infonot for dBase internal data, but IDE does support transactions when accessing external DBMSSingle row ACID (across millions of columns)
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yesRole-based access controlAccess rights for users and rolesAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Amazon SimpleDBApache IoTDBCockroachDBdBASEHBase
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