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DBMS > EXASOL vs. Pinecone vs. QuestDB

System Properties Comparison EXASOL vs. Pinecone vs. QuestDB

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Editorial information provided by DB-Engines
NameEXASOL  Xexclude from comparisonPinecone  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.A managed, cloud-native vector databaseA high performance open source SQL database for time series data
Primary database modelRelational DBMSVector DBMSTime Series DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#138  Overall
#64  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score2.81
Rank#98  Overall
#7  Time Series DBMS
Websitewww.exasol.comwww.pinecone.ioquestdb.io
Technical documentationwww.exasol.com/­resourcesdocs.pinecone.io/­docs/­overviewquestdb.io/­docs
DeveloperExasolPinecone Systems, IncQuestDB Technology Inc
Initial release200020192014
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava (Zero-GC), C++, Rust
Server operating systemshostedLinux
macOS
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyesString, 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 indexesyesno
SQL infoSupport of SQLyesnoSQL with time-series extensions
APIs and other access methods.Net
JDBC
ODBC
WebSocket
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesJava
Lua
Python
R
PythonC infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresuser defined functionsno
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infothrough memory mapped files
User concepts infoAccess controlAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
EXASOLPineconeQuestDB
News

Combine Java and Rust Code Coverage in a Polyglot Project
10 September 2024

Weather data visualization and forecasting with QuestDB, Kafka and Grafana
4 September 2024

Building a new vector based storage model
22 August 2024

Calibrating VWAP executions with QuestDB and Grafana
16 August 2024

Write Time: a call for community writers
13 August 2024

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More resources
EXASOLPineconeQuestDB
DB-Engines blog posts

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Exasol gets jolt of AI with Espresso suite of capabilities
26 February 2024, TechTarget

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12 September 2024, InfoWorld

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27 August 2024, VentureBeat

Pinecone launches its serverless vector database out of preview
21 May 2024, TechCrunch

Pinecone vector database available on AWS, Azure, and Google clouds
27 August 2024, Blocks & Files

Pinecone launches serverless vector database on Azure, GCP
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SQL Extensions for Time-Series Data in QuestDB
11 January 2021, Towards Data Science

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

QuestDB gets $12M Series A funding amid growing interest in time-series databases
3 November 2021, SiliconANGLE News

Read the Pitch Deck Database Startup QuestDB Used to Raise $12 Million
11 November 2021, Business Insider

Comparing Different Time-Series Databases
10 February 2022, hackernoon.com

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