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DBMS > Altibase vs. CrateDB vs. Qdrant vs. Realm

System Properties Comparison Altibase vs. CrateDB vs. Qdrant vs. Realm

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Editorial information provided by DB-Engines
NameAltibase  Xexclude from comparisonCrateDB  Xexclude from comparisonQdrant  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAn enterprise grade, high-performance RDBMSDistributed Database based on LuceneA high-performance vector database with neural network or semantic-based matchingA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSDocument store
Spatial DBMS
Search engine
Time Series DBMS
Vector DBMS
Vector DBMSDocument store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score0.73
Rank#224  Overall
#37  Document stores
#5  Spatial DBMS
#16  Search engines
#19  Time Series DBMS
#8  Vector DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitealtibase.comcratedb.comgithub.com/­qdrant/­qdrant
qdrant.tech
realm.io
Technical documentationgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualscratedb.com/­docsqdrant.tech/­documentationrealm.io/­docs
DeveloperAltibaseCrateQdrantRealm, acquired by MongoDB in May 2019
Initial release1999201320212014
Current releasev7.3, 2023, August 2023
License infoCommercial or Open Sourcecommercial infoOpen source edition discontinued with March 2023Open SourceOpen Source infoApache Version 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
CrateDB Cloud: a distributed SQL database that spreads data and processing across an elastic cluster of shared nothing nodes. CrateDB Cloud enables data insights at scale on Microsoft Azure, AWS and Google Cloud Platform.
Implementation languageC++JavaRust
Server operating systemsAIX
HP-UX
Linux
All Operating Systems, including Kubernetes with CrateDB Kubernetes Operator supportDocker
Linux
macOS
Windows
Android
Backend: server-less
iOS
Windows
Data schemeyesFlexible Schema (defined schema, partial schema, schema free)schema-freeyes
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Booleanyes
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.nononono
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLANSI SQL-92yes, but no triggers and constraints, and PostgreSQL compatibilitynono
APIs and other access methodsJDBC
ODBC
Proprietary protocol
ADO.NET
JDBC
ODBC
PostgreSQL wire protocol
Prometheus Remote Read/Write
RESTful HTTP API
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesC
C++
Java
.NET
Erlang
Go infocommunity maintained client
Java
JavaScript (Node.js) infocommunity maintained client
Perl infocommunity maintained client
PHP
Python
R
Ruby infocommunity maintained client
Scala infocommunity maintained client
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresstored procedures and stored functionsuser defined functions (Javascript)no inforuns within the applications so server-side scripts are unnecessary
Triggersyesnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesConfigurable replication on table/partition-levelCollection-level replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Read-after-write consistency on record level
Eventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infounique row identifiers can be used for implementing an optimistic concurrency control strategyACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsKey-based authenticationyes
More information provided by the system vendor
AltibaseCrateDBQdrantRealm
Specific characteristicsThe enterprise database for time series, documents, and vectors. Distributed - Native...
» more
Competitive advantagesResponse time in milliseconds: e ven for complex ad-hoc queries. Massive scaling...
» more
Typical application scenarios​ IoT: accelerate your IIoT projects with CrateDB, delivering real-time analytics...
» more
Key customersAcross all continents, CrateDB is used by companies of all sizes to meet the most...
» more
Market metricsThe CrateDB open source project was started in 2013 Honorable Mention in 2021 Gartner®...
» more
Licensing and pricing modelsSee CrateDB pricing >
» more

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