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DBMS > Brytlyt vs. Google Cloud Bigtable vs. InterSystems IRIS vs. LevelDB vs. LMDB

System Properties Comparison Brytlyt vs. Google Cloud Bigtable vs. InterSystems IRIS vs. LevelDB vs. LMDB

Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonLevelDB  Xexclude from comparisonLMDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLGoogle's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.A containerised multi-model DBMS, interoperability and analytics data platform with wide capabilities for vertical and horizontal scalabilityEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA high performant, light-weight, embedded key-value database library
Primary database modelRelational DBMSKey-value store
Wide column store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value storeKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
Score3.26
Rank#92  Overall
#13  Key-value stores
#8  Wide column stores
Score4.05
Rank#83  Overall
#14  Document stores
#10  Key-value stores
#1  Object oriented DBMS
#45  Relational DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Websitebrytlyt.iocloud.google.com/­bigtablewww.intersystems.com/­products/­intersystems-irisgithub.com/­google/­leveldbwww.symas.com/­symas-embedded-database-lmdb
Technical documentationdocs.brytlyt.iocloud.google.com/­bigtable/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.lmdb.tech/­doc
DeveloperBrytlytGoogleInterSystemsGoogleSymas
Initial release20162015201820112011
Current release5.0, August 20232023.3, June 20231.23, February 20210.9.32, January 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ and CUDAC++C
Server operating systemsLinux
OS X
Windows
hostedAIX
Linux
macOS
Ubuntu
Windows
Illumos
Linux
OS X
Windows
Linux
Unix
Windows
Data schemeyesschema-freedepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyesno
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 infospecific XML-type available, but no XML query functionality.noyesnono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLyesnoyesnono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
.Net
C++
Java
JavaScript (Node.js)
Python
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.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
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLnoyesnono
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesnono
More information provided by the system vendor
BrytlytGoogle Cloud BigtableInterSystems IRISLevelDBLMDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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BrytlytGoogle Cloud BigtableInterSystems IRISLevelDBLMDB
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