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DBMS > Altibase vs. Datomic vs. Google Cloud Bigtable vs. InterSystems IRIS vs. LevelDB

System Properties Comparison Altibase vs. Datomic vs. Google Cloud Bigtable vs. InterSystems IRIS vs. LevelDB

Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonInterSystems IRIS  Xexclude from comparisonLevelDB  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityGoogle'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 values
Primary database modelRelational DBMSRelational DBMSKey-value store
Wide column store
Document store
Key-value store
Object oriented DBMS
Relational DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.59
Rank#150  Overall
#69  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
Websitealtibase.comwww.datomic.comcloud.google.com/­bigtablewww.intersystems.com/­products/­intersystems-irisgithub.com/­google/­leveldb
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsdocs.datomic.comcloud.google.com/­bigtable/­docsdocs.intersystems.com/­irislatest/­csp/­docbook/­DocBook.UI.Page.clsgithub.com/­google/­leveldb/­blob/­main/­doc/­index.md
DeveloperAltibaseCognitectGoogleInterSystemsGoogle
Initial release19992012201520182011
Current releasev7.3, 2023, August 20231.0.6735, June 20232023.3, June 20231.23, February 2021
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023commercial infolimited edition freecommercialcommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++Java, ClojureC++
Server operating systemsAIX
HP-UX
Linux
All OS with a Java VMhostedAIX
Linux
macOS
Ubuntu
Windows
Illumos
Linux
OS X
Windows
Data schemeyesyesschema-freedepending on used data modelschema-free
Typing infopredefined data types such as float or dateyesyesnoyesno
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 indexesyesyesnoyesno
SQL infoSupport of SQLANSI SQL-92nonoyesno
APIs and other access methodsJDBC
ODBC
Proprietary protocol
RESTful HTTP APIgRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C++
Java
Clojure
Java
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
Server-side scripts infoStored proceduresstored procedures and stored functionsyes infoTransaction Functionsnoyesno
TriggersyesBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnone infoBut extensive use of caching in the application peersShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone infoBut extensive use of caching in the application peersInternal replication in Colossus, and regional replication between two clusters in different zonesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDAtomic single-row operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infowith automatic compression on writes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes inforecommended only for testing and developmentnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)yesno
More information provided by the system vendor
AltibaseDatomicGoogle Cloud BigtableInterSystems IRISLevelDB
Specific characteristicsInterSystems IRIS is a complete cloud-first data platform which includes a multi-model...
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AltibaseDatomicGoogle Cloud BigtableInterSystems IRISLevelDB
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