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DBMS > Apache Impala vs. Qdrant vs. SingleStore

System Properties Comparison Apache Impala vs. Qdrant vs. SingleStore

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonQdrant  Xexclude from comparisonSingleStore infoformer name was MemSQL  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopA high-performance vector database with neural network or semantic-based matchingMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelRelational DBMSVector DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websiteimpala.apache.orggithub.com/­qdrant/­qdrant
qdrant.tech
www.singlestore.com
Technical documentationimpala.apache.org/­impala-docs.htmlqdrant.tech/­documentationdocs.singlestore.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaQdrantSingleStore Inc.
Initial release201320212013
Current release4.1.0, June 20228.5, January 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC++RustC++, Go
Server operating systemsLinuxDocker
Linux
macOS
Windows
Linux info64 bit version required
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesNumbers, 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.nonono
Secondary indexesyesyes infoKeywords, numberic ranges, geo, full-textyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infobut no triggers and foreign keys
APIs and other access methodsJDBC
ODBC
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesAll languages supporting JDBC/ODBC.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorCollection-level replicationSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency, tunable consistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosKey-based authenticationFine grained access control via users, groups and roles
More information provided by the system vendor
Apache ImpalaQdrantSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Apache ImpalaQdrantSingleStore infoformer name was MemSQL
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SingleStore: The Increasing Momentum of Multi-Model Database Systems
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