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DBMS > InterSystems Caché vs. LevelDB vs. ObjectBox vs. Tarantool

System Properties Comparison InterSystems Caché vs. LevelDB vs. ObjectBox vs. Tarantool

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Editorial information provided by DB-Engines
NameInterSystems Caché  Xexclude from comparisonLevelDB  Xexclude from comparisonObjectBox  Xexclude from comparisonTarantool  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionA multi-model DBMS and application serverEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesExtremely fast embedded database for small devices, IoT and MobileIn-memory computing platform with a flexible data schema for efficiently building high-performance applications
Primary database modelKey-value store
Object oriented DBMS
Relational DBMS
Key-value storeObject oriented DBMSDocument store
Key-value store
Relational DBMS
Secondary database modelsDocument storeTime Series DBMSSpatial DBMS infowith Tarantool/GIS extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score1.72
Rank#144  Overall
#25  Document stores
#25  Key-value stores
#66  Relational DBMS
Websitewww.intersystems.com/­products/­cachegithub.com/­google/­leveldbobjectbox.iowww.tarantool.io
Technical documentationdocs.intersystems.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.objectbox.iowww.tarantool.io/­en/­doc
DeveloperInterSystemsGoogleObjectBox LimitedVK
Initial release1997201120172008
Current release2018.1.4, May 20201.23, February 20212.10.0, May 2022
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoApache License 2.0Open Source infoBSD-2, source-available extensions (modules), commercial licenses for Tarantool Enterprise
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C and C++
Server operating systemsAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
Android
iOS
Linux
macOS
Windows
BSD
Linux
macOS
Data schemedepending on used data modelschema-freeyesFlexible data schema: relational definition for tables with ability to store json-like documents in columns
Typing infopredefined data types such as float or dateyesnoyesstring, double, decimal, uuid, integer, blob, boolean, datetime
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.yesnonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyesnonoFull-featured ANSI SQL support
APIs and other access methods.NET Client API
JDBC
ODBC
RESTful HTTP API
Proprietary native APIOpen binary protocol
Supported programming languagesC#
C++
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C
C#
C++
Erlang
Go
Java
JavaScript
Lua
Perl
PHP
Python
Rust
Server-side scripts infoStored proceduresyesnonoLua, C and SQL stored procedures
Triggersyesnonoyes, before/after data modification events, on replication events, client session events
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding, partitioned with virtual buckets by user defined affinity key. Live resharding for scale up and scale down without maintenance downtime.
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneonline/offline synchronization between client and serverAsynchronous replication with multi-master option
Configurable replication topology (full-mesh, chain, star)
Synchronous quorum replication (with Raft)
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyCasual consistency across sharding partitions
Eventual consistency within replicaset partition infowhen using asyncronous replication
Immediate Consistency within single instance
Sequential consistency including linearizable read within replicaset partition infowhen using Raft
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID, with serializable isolation and linearizable read (within partition); Configurable MVCC (within partition); No cross-shard distributed transactions
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, cooperative multitasking
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes, write ahead logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes, full featured in-memory storage engine with persistence
User concepts infoAccess controlAccess rights for users, groups and rolesnoyesAccess Control Lists
Mutual TLS authentication for Tarantol Enterprise
Password based authentication
Role-based access control (RBAC) and LDAP for Tarantol Enterprise
Users and Roles
More information provided by the system vendor
InterSystems CachéLevelDBObjectBoxTarantool
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More resources
InterSystems CachéLevelDBObjectBoxTarantool
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Data processing speed and reliability: in-memory synchronous replication
9 November 2021,  Vladimir Perepelytsya, Tarantool (sponsor) 

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