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DBMS > atoti vs. GridGain vs. Hawkular Metrics vs. LMDB vs. MarkLogic

System Properties Comparison atoti vs. GridGain vs. Hawkular Metrics vs. LMDB vs. MarkLogic

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonGridGain  Xexclude from comparisonHawkular Metrics  Xexclude from comparisonLMDB  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.GridGain is an in-memory computing platform, built on Apache IgniteHawkular metrics is the metric storage of the Red Hat sponsored Hawkular monitoring system. It is based on Cassandra.A high performant, light-weight, embedded key-value database libraryOperational and transactional Enterprise NoSQL database
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Time Series DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#10  Object oriented DBMS
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score0.08
Rank#366  Overall
#39  Time Series DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websiteatoti.iowww.gridgain.comwww.hawkular.orgwww.symas.com/­symas-embedded-database-lmdbwww.marklogic.com
Technical documentationdocs.atoti.iowww.gridgain.com/­docs/­index.htmlwww.hawkular.org/­hawkular-metrics/­docs/­user-guidewww.lmdb.tech/­docdocs.marklogic.com
DeveloperActiveViamGridGain Systems, Inc.Community supported by Red HatSymasMarkLogic Corp.
Initial release2007201420112001
Current releaseGridGain 8.5.10.9.32, January 202411.0, December 2022
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache 2.0Open Sourcecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, C++, .NetJavaCC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
Unix
Windows
Linux
OS X
Windows
Data schemeyesschema-freeschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes
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.yesnonoyes
Secondary indexesyesnonoyes
SQL infoSupport of SQLMultidimensional Expressions (MDX)ANSI-99 for query and DML statements, subset of DDLnonoyes infoSQL92
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
HTTP RESTJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
Go
Java
Python
Ruby
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresPythonyes (compute grid and cache interceptors can be used instead)nonoyes infovia XQuery or JavaScript
Triggersyes (cache interceptors and events)yes infovia Hawkular Alertingnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingSharding infobased on CassandranoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)selectable replication factor infobased on Cassandranoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)nonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesyesnoyesyes, with Range Indexes
User concepts infoAccess controlSecurity Hooks for custom implementationsnonoRole-based access control at the document and subdocument levels

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More resources
atotiGridGainHawkular MetricsLMDBMarkLogic
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