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DBMS > atoti vs. Graphite vs. Ignite vs. Linter vs. Microsoft Azure Table Storage

System Properties Comparison atoti vs. Graphite vs. Ignite vs. Linter vs. Microsoft Azure Table Storage

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGraphite  Xexclude from comparisonIgnite  Xexclude from comparisonLinter  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.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.RDBMS for high security requirementsA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelObject oriented DBMSTime Series DBMSKey-value store
Relational DBMS
Relational DBMSWide column store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score3.16
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Websiteatoti.iogithub.com/­graphite-project/­graphite-webignite.apache.orglinter.ruazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdocs.atoti.iographite.readthedocs.ioapacheignite.readme.io/­docs
DeveloperActiveViamChris DavisApache Software Foundationrelex.ruMicrosoft
Initial release2006201519902012
Current releaseApache Ignite 2.6
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaPythonC++, Java, .NetC and C++
Server operating systemsLinux
Unix
Linux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
hosted
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateNumeric data onlyyesyesyes
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.noyesnono
Secondary indexesnoyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)noANSI-99 for query and DML statements, subset of DDLyesno
APIs and other access methodsHTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
RESTful HTTP API
Supported programming languagesJavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresPythonnoyes (compute grid and cache interceptors can be used instead)yes infoproprietary syntax with the possibility to convert from PL/SQLno
Triggersnoyes (cache interceptors and events)yesno
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes (replicated cache)Source-replica replicationyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes (compute grid and hadoop accelerator)nono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yes infolockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlnoSecurity Hooks for custom implementationsfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
atotiGraphiteIgniteLinterMicrosoft Azure Table Storage
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