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DBMS > atoti vs. Ignite vs. LMDB vs. TigerGraph

System Properties Comparison atoti vs. Ignite vs. LMDB vs. TigerGraph

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Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonIgnite  Xexclude from comparisonLMDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.Apache 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 high performant, light-weight, embedded key-value database libraryA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelObject oriented DBMSKey-value store
Relational DBMS
Key-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.61
Rank#243  Overall
#11  Object oriented DBMS
Score3.11
Rank#96  Overall
#15  Key-value stores
#49  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score1.80
Rank#138  Overall
#13  Graph DBMS
Websiteatoti.ioignite.apache.orgwww.symas.com/­symas-embedded-database-lmdbwww.tigergraph.com
Technical documentationdocs.atoti.ioapacheignite.readme.io/­docswww.lmdb.tech/­docdocs.tigergraph.com
DeveloperActiveViamApache Software FoundationSymas
Initial release201520112017
Current releaseApache Ignite 2.60.9.32, January 2024
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoApache 2.0Open Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++, Java, .NetCC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Unix
Windows
Linux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes
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.yesnono
Secondary indexesyesno
SQL infoSupport of SQLMultidimensional Expressions (MDX)ANSI-99 for query and DML statements, subset of DDLnoSQL-like query language (GSQL)
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
.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++
Java
Server-side scripts infoStored proceduresPythonyes (compute grid and cache interceptors can be used instead)noyes
Triggersyes (cache interceptors and events)nono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes (compute grid and hadoop accelerator)noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlSecurity Hooks for custom implementationsnoRole-based access control

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More resources
atotiIgniteLMDBTigerGraph
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