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DBMS > Apache Kylin vs. ArangoDB vs. Pinecone vs. QuestDB

System Properties Comparison Apache Kylin vs. ArangoDB vs. Pinecone vs. QuestDB

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Editorial information provided by DB-Engines
NameApache Kylin  Xexclude from comparisonArangoDB  Xexclude from comparisonPinecone  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionA distributed analytics engine for big data, providing a SQL interface and multi-dimensional analysis (OLAP) and leveraging the Hadoop stackNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A managed, cloud-native vector databaseA high performance open source SQL database for time series data
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Search engine
Vector DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.25
Rank#170  Overall
#77  Relational DBMS
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score3.23
Rank#92  Overall
#2  Vector DBMS
Score2.70
Rank#105  Overall
#8  Time Series DBMS
Websitekylin.apache.orgarangodb.comwww.pinecone.ioquestdb.io
Technical documentationkylin.apache.org/­docsdocs.arangodb.comdocs.pinecone.io/­docs/­overviewquestdb.io/­docs
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperApache Software Foundation, originally contributed from eBay IncArangoDB Inc.Pinecone Systems, IncQuestDB Technology Inc
Initial release2015201220192014
Current release3.1.0, July 20203.11.5, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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ArangoDB Cloud –The Managed Cloud Service of ArangoDB. Provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageJavaC++Java (Zero-GC), C++, Rust
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
macOS
Windows
Data schemeyesschema-free infoautomatically recognizes schema within a collectionyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashString, Number, 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 indexesyesyesno
SQL infoSupport of SQLANSI SQL for queries (using Apache Calcite)nonoSQL with time-series extensions
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
PythonC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresJavaScriptno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0horizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan be done with stored procedures in JavaScriptnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.nonoyes infothrough memory mapped files
User concepts infoAccess controlyes
More information provided by the system vendor
Apache KylinArangoDBPineconeQuestDB
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Relational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
High ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Financial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Banks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
Open source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
Apache KylinArangoDBPineconeQuestDB
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