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DBMS > atoti vs. MonetDB vs. Qdrant vs. QuestDB vs. Transwarp Hippo

System Properties Comparison atoti vs. MonetDB vs. Qdrant vs. QuestDB vs. Transwarp Hippo

Editorial information provided by DB-Engines
Nameatoti  Xexclude from comparisonMonetDB  Xexclude from comparisonQdrant  Xexclude from comparisonQuestDB  Xexclude from comparisonTranswarp Hippo  Xexclude from comparison
DescriptionAn in-memory DBMS combining transactional and analytical processing to handle the aggregation of ever-changing data.A relational database management system that stores data in columnsA high-performance vector database with neural network or semantic-based matchingA high performance open source SQL database for time series dataCloud-native distributed Vector DBMS that supports storage, retrieval, and management of massive vector-based datasets
Primary database modelObject oriented DBMSRelational DBMSVector DBMSTime Series DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.56
Rank#245  Overall
#10  Object oriented DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Score0.00
Rank#383  Overall
#13  Vector DBMS
Websiteatoti.iowww.monetdb.orggithub.com/­qdrant/­qdrant
qdrant.tech
questdb.iowww.transwarp.cn/­en/­subproduct/­hippo
Technical documentationdocs.atoti.iowww.monetdb.org/­Documentationqdrant.tech/­documentationquestdb.io/­docs
DeveloperActiveViamMonetDB BVQdrantQuestDB Technology Inc
Initial release2004202120142023
Current releaseDec2023 (11.49), December 20231.0, May 2023
License infoCommercial or Open Sourcecommercial infofree versions availableOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCRustJava (Zero-GC), C++, RustC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Linux
macOS
Windows
Linux
macOS
Data schemeyesschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesNumbers, Strings, Geo, BooleanyesVector, Numeric and String
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.nonono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textnono
SQL infoSupport of SQLMultidimensional Expressions (MDX)yes infoSQL 2003 with some extensionsnoSQL with time-series extensionsno
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
RESTful HTTP API
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C++
Java
Python
Server-side scripts infoStored proceduresPythonyes, in SQL, C, Rnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningSharding via remote tablesShardinghorizontal partitioning (by timestamps)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusCollection-level replicationSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency, tunable consistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
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.yesyesyes infothrough memory mapped filesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardKey-based authenticationRole based access control and fine grained access rights
More information provided by the system vendor
atotiMonetDBQdrantQuestDBTranswarp Hippo
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
atotiMonetDBQdrantQuestDBTranswarp Hippo
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