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DBMS > Google Cloud Bigtable vs. Linter vs. LMDB vs. OpenEdge vs. TigerGraph

System Properties Comparison Google Cloud Bigtable vs. Linter vs. LMDB vs. OpenEdge vs. TigerGraph

Editorial information provided by DB-Engines
NameGoogle Cloud Bigtable  Xexclude from comparisonLinter  Xexclude from comparisonLMDB  Xexclude from comparisonOpenEdge  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.RDBMS for high security requirementsA 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-time
Primary database modelKey-value store
Wide column store
Relational DBMSKey-value storeRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.15
Rank#95  Overall
#14  Key-value stores
#8  Wide column stores
Score0.12
Rank#350  Overall
#152  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
Websitecloud.google.com/­bigtablelinter.ruwww.symas.com/­symas-embedded-database-lmdbwww.progress.com/­openedgewww.tigergraph.com
Technical documentationcloud.google.com/­bigtable/­docswww.lmdb.tech/­docdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.tigergraph.com
DeveloperGooglerelex.ruSymasProgress Software Corporation
Initial release20151990201119842017
Current release0.9.32, January 2024OpenEdge 12.2, March 2020
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC++
Server operating systemshostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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.nononoyesno
Secondary indexesnoyesnoyes
SQL infoSupport of SQLnoyesnoyes infoclose to SQL 92SQL-like query language (GSQL)
APIs and other access methodsgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
JDBC
ODBC
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
Python
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
.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
Server-side scripts infoStored proceduresnoyes infoproprietary syntax with the possibility to convert from PL/SQLnoyesyes
Triggersnoyesnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioning infosince Version 11.4
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnono
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardnoUsers and groupsRole-based access control

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More resources
Google Cloud BigtableLinterLMDBOpenEdgeTigerGraph
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