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DBMS > Amazon CloudSearch vs. DuckDB vs. InfinityDB vs. Netezza vs. Sqrrl

System Properties Comparison Amazon CloudSearch vs. DuckDB vs. InfinityDB vs. Netezza vs. Sqrrl

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDuckDB  Xexclude from comparisonInfinityDB  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonSqrrl  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.
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudAn embeddable, in-process, column-oriented SQL OLAP RDBMSA Java embedded Key-Value Store which extends the Java Map interfaceData warehouse and analytics appliance part of IBM PureSystemsAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelSearch engineRelational DBMSKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score4.57
Rank#74  Overall
#40  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score9.06
Rank#46  Overall
#29  Relational DBMS
Websiteaws.amazon.com/­cloudsearchduckdb.orgboilerbay.comwww.ibm.com/­products/­netezzasqrrl.com
Technical documentationdocs.aws.amazon.com/­cloudsearchduckdb.org/­docsboilerbay.com/­infinitydb/­manual
DeveloperAmazonBoiler Bay Inc.IBMAmazon infooriginally Sqrrl Data, Inc.
Initial release20122018200220002012
Current release0.10, February 20244.0
License infoCommercial or Open SourcecommercialOpen Source infoMIT Licensecommercialcommercialcommercial
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 languageC++JavaJava
Server operating systemshostedserver-lessAll OS with a Java VMLinux infoincluded in applianceLinux
Data schemeyesyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyesyes
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 search fields are automatically indexedyesno infomanual creation possible, using inversions based on multi-value capabilityyesyes
SQL infoSupport of SQLnoyesnoyesno
APIs and other access methodsHTTP APIArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
JDBC
ODBC
OLE DB
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
JavaC
C++
Fortran
Java
Lua
Perl
Python
R
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresnononoyesno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednonenoneShardingSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSnonenoneSource-replica replicationselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID infoOptimistic locking for transactions; no isolation for bulk loadsACIDAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
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.yesno
User concepts infoAccess controlauthentication via encrypted signaturesnonoUsers with fine-grained authorization conceptCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
Amazon CloudSearchDuckDBInfinityDBNetezza infoAlso called PureData System for Analytics by IBMSqrrl
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