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DBMS > Apache Drill vs. H2 vs. MaxDB vs. Pinecone

System Properties Comparison Apache Drill vs. H2 vs. MaxDB vs. Pinecone

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonH2  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonPinecone  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.A robust and reliable RDBMS optimized to run all major SAP solutionsA managed, cloud-native vector database
Primary database modelDocument store
Relational DBMS
Relational DBMSRelational DBMSVector DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score7.57
Rank#47  Overall
#30  Relational DBMS
Score2.15
Rank#115  Overall
#55  Relational DBMS
Score3.02
Rank#87  Overall
#3  Vector DBMS
Websitedrill.apache.orgwww.h2database.commaxdb.sap.comwww.pinecone.io
Technical documentationdrill.apache.org/­docswww.h2database.com/­html/­main.htmlmaxdb.sap.com/­documentationdocs.pinecone.io/­docs/­overview
DeveloperApache Software FoundationThomas MuellerSAP, acquired from Software AG (Adabas-D) in 1997Pinecone Systems, Inc
Initial release2012200519842019
Current release1.20.3, January 20232.2.220, July 20237.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infodual-licence (Mozilla public license, Eclipse public license)commercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAIX
HP-UX
Linux
Solaris
Windows
hosted
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesString, Number, Boolean
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 indexesnoyesyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantyesyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
WebDAV
RESTful HTTP API
Supported programming languagesC++Java.Net
C#
Java
Perl
PHP
Python
Python
Server-side scripts infoStored proceduresuser defined functionsJava Stored Procedures and User-Defined Functionsyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesWith clustering: 2 database servers on different computers operate on identical copies of a databaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnono
User concepts infoAccess controlDepending on the underlying data sourcefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
Apache DrillH2MaxDB infoformerly named Adabas-DPinecone
DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
9 June 2016, TheServerSide.com

Analyse Kafka messages with SQL queries using Apache Drill
27 September 2019, Towards Data Science

MapR Advances Support for Flexible and High Performance Analytics on JSON and S3 Data with Apache Drill
30 January 2019, Business Wire

Apache Drill Adds New Data Formats
28 March 2022, iProgrammer

Apache Drill Eliminates ETL, Data Transformation for MapR Database
11 April 2016, The New Stack

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21 March 2022, TechTarget

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10 September 2024, Blocks & Files

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Pinecone serverless goes multicloud as vector database market heats up
27 August 2024, VentureBeat

Using the Pinecone vector database in .NET
12 September 2024, InfoWorld

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

Pinecone launches serverless vector database on Azure, GCP
27 August 2024, TechTarget

Pinecone Makes Accurate, Fast, Scalable Generative AI Accessible to Organizations Large and Small with Launch of its Serverless Vector Database
21 May 2024, PR Newswire

provided by Google News



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