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DBMS > Amazon SimpleDB vs. Apache Impala vs. Coveo vs. GeoSpock vs. InfinityDB

System Properties Comparison Amazon SimpleDB vs. Apache Impala vs. Coveo vs. GeoSpock vs. InfinityDB

Editorial information provided by DB-Engines
NameAmazon SimpleDB  Xexclude from comparisonApache Impala  Xexclude from comparisonCoveo  Xexclude from comparisonGeoSpock  Xexclude from comparisonInfinityDB  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
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 HadoopAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentSpatial and temporal data processing engine for extreme data scaleA Java embedded Key-Value Store which extends the Java Map interface
Primary database modelKey-value storeRelational DBMSSearch engineRelational DBMSKey-value store
Secondary database modelsDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.88
Rank#133  Overall
#23  Key-value stores
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score2.11
Rank#118  Overall
#11  Search engines
Score0.08
Rank#365  Overall
#55  Key-value stores
Websiteaws.amazon.com/­simpledbimpala.apache.orgwww.coveo.comgeospock.comboilerbay.com
Technical documentationdocs.aws.amazon.com/­simpledbimpala.apache.org/­impala-docs.htmldocs.coveo.comboilerbay.com/­infinitydb/­manual
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by ClouderaCoveoGeoSpockBoiler Bay Inc.
Initial release2007201320122002
Current release4.1.0, June 20222.0, September 20194.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, JavascriptJava
Server operating systemshostedLinuxhostedhostedAll OS with a Java VM
Data schemeschema-freeyeshybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgrade
Typing infopredefined data types such as float or datenoyesyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arrays
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 automaticallyyesyestemporal, categoricalno infomanual creation possible, using inversions based on multi-value capability
SQL infoSupport of SQLnoSQL-like DML and DDL statementsnoANSI SQL for query only (using Presto)no
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
RESTful HTTP APIJDBCAccess via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
Supported programming languages.Net
C
C++
Erlang
Java
PHP
Python
Ruby
Scala
All languages supporting JDBC/ODBCC#
Java
JavaScript
Python
Java
Server-side scripts infoStored proceduresnoyes infouser defined functions and integration of map-reducenonono
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoSharding must be implemented in the applicationShardingyesAutomatic shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factoryesnone
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 ConsistencyImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZED
Foreign keys infoReferential integritynonoyesnono infomanual creation possible, using inversions based on multi-value capability
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoConcurrent data updates can be detected by the applicationnoyesnoACID infoOptimistic locking for transactions; no isolation for bulk loads
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.nonono
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 Kerberosgranular access controls, API key management, content filtersAccess rights for users can be defined per tableno

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More resources
Amazon SimpleDBApache ImpalaCoveoGeoSpockInfinityDB
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