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DBMS > Amazon CloudSearch vs. Firebird vs. HBase vs. InfinityDB vs. Splunk

System Properties Comparison Amazon CloudSearch vs. Firebird vs. HBase vs. InfinityDB vs. Splunk

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonFirebird  Xexclude from comparisonHBase  Xexclude from comparisonInfinityDB  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudFirebird is an open source RDBMS forked from Borland's InterBaseWide-column store based on Apache Hadoop and on concepts of BigTableA Java embedded Key-Value Store which extends the Java Map interfaceAnalytics Platform for Big Data
Primary database modelSearch engineRelational DBMSWide column storeKey-value storeSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.85
Rank#137  Overall
#12  Search engines
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.00
Rank#378  Overall
#57  Key-value stores
Score86.45
Rank#14  Overall
#2  Search engines
Websiteaws.amazon.com/­cloudsearchwww.firebirdsql.orghbase.apache.orgboilerbay.comwww.splunk.com
Technical documentationdocs.aws.amazon.com/­cloudsearchwww.firebirdsql.org/­en/­reference-manualshbase.apache.org/­book.htmlboilerbay.com/­infinitydb/­manualdocs.splunk.com/­Documentation/­Splunk
DeveloperAmazonFirebird FoundationApache Software Foundation infoApache top-level project, originally developed by PowersetBoiler Bay Inc.Splunk Inc.
Initial release20122000 infoAs fork of Borland's InterBase200820022003
Current release5.0.0, January 20242.3.4, January 20214.0
License infoCommercial or Open SourcecommercialOpen Source infoInitial Developer's Public LicenseOpen Source infoApache version 2commercialcommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaJava
Server operating systemshostedAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
Linux
Unix
Windows infousing Cygwin
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesyesschema-free, schema definition possibleyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateyesyesoptions to bring your own types, AVROyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.nonoyes
Secondary indexesyes infoall search fields are automatically indexedyesnono infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnoyesnonono infoSplunk Search Processing Language for search commands
APIs and other access methodsHTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
Java API
RESTful HTTP API
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP REST
Supported programming languagesC
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
C
C#
C++
Groovy
Java
PHP
Python
Scala
JavaC#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoPSQLyes infoCoprocessors in Javanoyes
Triggersnoyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSSource-replica replicationMulti-source replication
Source-replica replication
noneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDEventual Consistency
Foreign keys infoReferential integritynoyesnono infomanual creation possible, using inversions based on multi-value capabilityno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDSingle row ACID (across millions of columns)ACID infoOptimistic locking for transactions; no isolation for bulk loadsno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyesyes
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.yesnono
User concepts infoAccess controlauthentication via encrypted signaturesUsers with fine-grained authorization conceptAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnoAccess rights for users and roles

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More resources
Amazon CloudSearchFirebirdHBaseInfinityDBSplunk
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