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DBMS > atoti vs. FileMaker vs. Hive vs. Ignite vs. TerarkDB

System Properties Comparison atoti vs. FileMaker vs. Hive vs. Ignite vs. TerarkDB

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonFileMaker  Xexclude from comparisonHive  Xexclude from comparisonIgnite  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.FileMaker is a cross-platform RDBMS that includes a GUI frontend.data warehouse software for querying and managing large distributed datasets, built on HadoopApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelObject oriented DBMSRelational DBMSRelational DBMSKey-value store
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#242  Overall
#10  Object oriented DBMS
Score49.73
Rank#20  Overall
#14  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score3.64
Rank#89  Overall
#13  Key-value stores
#48  Relational DBMS
Score0.04
Rank#377  Overall
#58  Key-value stores
Websiteatoti.iowww.claris.com/­filemakerhive.apache.orgignite.apache.orggithub.com/­bytedance/­terarkdb
Technical documentationdocs.atoti.iowww.claris.com/­resources/­documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeapacheignite.readme.io/­docsbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperActiveViamClaris infoa subsidiary of AppleApache Software Foundation infoinitially developed by FacebookApache Software FoundationByteDance, originally Terark
Initial release1983201220152016
Current release19.4.1, November 20213.1.3, April 2022Apache Ignite 2.6
License infoCommercial or Open Sourcecommercial infofree versions availablecommercialOpen Source infoApache Version 2Open Source infoApache 2.0commercial inforestricted open source version 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 languageJavaJavaC++, Java, .NetC++
Server operating systemsiOS infoclient part only
Linux
OS X
Windows
All OS with a Java VMLinux
OS X
Solaris
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.yes infoA http query request can return the data in XML formatyesno
Secondary indexesyesyesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infovia pluginsSQL-like DML and DDL statementsANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsFilemaker WebDirect
JDBC
ODBC
JDBC
ODBC
Thrift
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
C++ API
Java API
Supported programming languagesPHPC++
Java
PHP
Python
C#
C++
Java
PHP
Python
Ruby
Scala
C++
Java
Server-side scripts infoStored proceduresPythonyesyes infouser defined functions and integration of map-reduceyes (compute grid and cache interceptors can be used instead)no
Triggersyesnoyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningnoneShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication, warm standby infosince Version 14selectable replication factoryes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoquery execution via MapReduceyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDno
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.yesyesyes
User concepts infoAccess controlsimple rights management via user accounts and connection to external directory servicesAccess rights for users, groups and rolesSecurity Hooks for custom implementationsno

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atotiFileMakerHiveIgniteTerarkDB
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