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DBMS > GridGain vs. LMDB vs. OpenEdge vs. TigerGraph vs. Tigris

System Properties Comparison GridGain vs. LMDB vs. OpenEdge vs. TigerGraph vs. Tigris

Editorial information provided by DB-Engines
NameGridGain  Xexclude from comparisonLMDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonTigerGraph  Xexclude from comparisonTigris  Xexclude from comparison
DescriptionGridGain is an in-memory computing platform, built on Apache IgniteA high performant, light-weight, embedded key-value database libraryApplication development environment with integrated database management systemA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA horizontally scalable, ACID transactional, document database available both as a fully managed cloud service and for deployment on self-managed infrastructure
Primary database modelKey-value store
Relational DBMS
Key-value storeRelational DBMSGraph DBMSDocument store
Key-value store
Search engine
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score2.09
Rank#121  Overall
#20  Key-value stores
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score1.80
Rank#138  Overall
#13  Graph DBMS
Score0.09
Rank#363  Overall
#49  Document stores
#54  Key-value stores
#22  Search engines
#38  Time Series DBMS
Websitewww.gridgain.comwww.symas.com/­symas-embedded-database-lmdbwww.progress.com/­openedgewww.tigergraph.comwww.tigrisdata.com
Technical documentationwww.gridgain.com/­docs/­index.htmlwww.lmdb.tech/­docdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.tigergraph.comwww.tigrisdata.com/­docs
DeveloperGridGain Systems, Inc.SymasProgress Software CorporationTigris Data, Inc.
Initial release20072011198420172022
Current releaseGridGain 8.5.10.9.32, January 2024OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialOpen SourcecommercialcommercialOpen Source infoApache Version 2.0
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 languageJava, C++, .NetCC++
Server operating systemsLinux
OS X
Solaris
Windows
Linux
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
LinuxLinux
macOS
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.yesnoyesnono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLnoyes infoclose to SQL 92SQL-like query language (GSQL)no
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
CLI Client
gRPC
RESTful HTTP 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
Progress proprietary ABL (Advanced Business Language)C++
Java
Go
Java
JavaScript (Node.js)
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)noyesyesno
Triggersyes (cache interceptors and events)noyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioning infosince Version 11.4Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)noneSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)nonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, using FoundationDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnono
User concepts infoAccess controlSecurity Hooks for custom implementationsnoUsers and groupsRole-based access controlAccess rights for users and roles

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More resources
GridGainLMDBOpenEdgeTigerGraphTigris
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