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DBMS > Amazon Redshift vs. Amazon SimpleDB vs. BoltDB vs. Drizzle vs. Kinetica

System Properties Comparison Amazon Redshift vs. Amazon SimpleDB vs. BoltDB vs. Drizzle vs. Kinetica

Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAmazon SimpleDB  Xexclude from comparisonBoltDB  Xexclude from comparisonDrizzle  Xexclude from comparisonKinetica  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsHosted simple database service by Amazon, with the data stored in the Amazon Cloud. infoThere is an unrelated product called SimpleDB developed by Edward ScioreAn embedded key-value store for Go.MySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Fully vectorized database across both GPUs and CPUs
Primary database modelRelational DBMSKey-value storeKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score17.94
Rank#34  Overall
#21  Relational DBMS
Score1.85
Rank#138  Overall
#24  Key-value stores
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Websiteaws.amazon.com/­redshiftaws.amazon.com/­simpledbgithub.com/­boltdb/­boltwww.kinetica.com
Technical documentationdocs.aws.amazon.com/­redshiftdocs.aws.amazon.com/­simpledbdocs.kinetica.com
DeveloperAmazon (based on PostgreSQL)AmazonDrizzle project, originally started by Brian AkerKinetica
Initial release20122007201320082012
Current release7.2.4, September 20127.1, August 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoMIT LicenseOpen Source infoGNU GPLcommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoC++C, C++
Server operating systemshostedhostedBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Linux
Data schemeyesschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnonoyesyes
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 indexesrestrictedyes infoAll columns are indexed automaticallynoyesyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnonoyes infowith proprietary extensionsSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
RESTful HTTP APIJDBCJDBC
ODBC
RESTful HTTP API
Supported programming languagesAll languages supporting JDBC/ODBC.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
GoC
C++
Java
PHP
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnononouser defined functions
Triggersnononono infohooks for callbacks inside the server can be used.yes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoSharding must be implemented in the applicationnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency infocan be specified for read operations
noneImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoConcurrent data updates can be detected by the applicationyesACIDno
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 infoGPU vRAM or System RAM
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)noPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users and roles on table level

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More resources
Amazon RedshiftAmazon SimpleDBBoltDBDrizzleKinetica
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