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DBMS > Amazon CloudSearch vs. Databricks vs. Graphite vs. Ignite vs. UniData,UniVerse

System Properties Comparison Amazon CloudSearch vs. Databricks vs. Graphite vs. Ignite vs. UniData,UniVerse

Editorial information provided by DB-Engines
NameAmazon CloudSearch  Xexclude from comparisonDatabricks  Xexclude from comparisonGraphite  Xexclude from comparisonIgnite  Xexclude from comparisonUniData,UniVerse  Xexclude from comparison
DescriptionA hosted search engine service by Amazon with the data stored in Amazons cloudThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.MultiValue database and application server with SQL mapping layer and meta database capabilities
Primary database modelSearch engineDocument store
Relational DBMS
Time Series DBMSKey-value store
Relational DBMS
Multivalue DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.81
Rank#137  Overall
#12  Search engines
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.85
Rank#98  Overall
#1  Multivalue DBMS
Websiteaws.amazon.com/­cloudsearchwww.databricks.comgithub.com/­graphite-project/­graphite-webignite.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-unidata
Technical documentationdocs.aws.amazon.com/­cloudsearchdocs.databricks.comgraphite.readthedocs.ioapacheignite.readme.io/­docsdocs.rocketsoftware.com/­bundle?cluster=true&labelkey=unidata&labelkey=prod_unidata
DeveloperAmazonDatabricksChris DavisApache Software FoundationRocket Software
Initial release20122013200620151985
Current releaseApache Ignite 2.6
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache 2.0commercial
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 languagePythonC++, Java, .NetC
Server operating systemshostedhostedLinux
Unix
Linux
OS X
Solaris
Windows
AIX
HP-UX
Linux
Solaris
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)yesyesschema-free
Typing infopredefined data types such as float or dateyesNumeric data onlyyesoptional
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.yesnoyes
Secondary indexesyes infoall search fields are automatically indexedyesnoyesyes
SQL infoSupport of SQLnowith Databricks SQLnoANSI-99 for query and DML statements, subset of DDLyes
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
HTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Java API infoJPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesPython
R
Scala
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
Basic infoU2 Basic
C
Java
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes (compute grid and cache interceptors can be used instead)yes
Triggersnonoyes (cache interceptors and events)yes infoU2 Basic
Partitioning methods infoMethods for storing different data on different nodesyes infoautomatic partitioning across Amazon Search Instance as requirednoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes infomanaged transparently by AWSyesnoneyes (replicated cache)Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACIDACID infoconfigurable
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
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.noyes
User concepts infoAccess controlauthentication via encrypted signaturesnoSecurity Hooks for custom implementationsAccess rights according to SQL-standard and operating system based
More information provided by the system vendor
Amazon CloudSearchDatabricksGraphiteIgniteUniData,UniVerse
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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Amazon CloudSearchDatabricksGraphiteIgniteUniData,UniVerse
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