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DBMS > Apache Drill vs. EventStoreDB vs. Google Cloud Datastore vs. Pinecone vs. TerarkDB

System Properties Comparison Apache Drill vs. EventStoreDB vs. Google Cloud Datastore vs. Pinecone vs. TerarkDB

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonEventStoreDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonPinecone  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageIndustrial-strength, open-source database solution built from the ground up for event sourcing.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA managed, cloud-native vector databaseA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument store
Relational DBMS
Event StoreDocument storeVector DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.90
Rank#126  Overall
#23  Document stores
#60  Relational DBMS
Score1.07
Rank#181  Overall
#1  Event Stores
Score4.13
Rank#71  Overall
#12  Document stores
Score3.02
Rank#87  Overall
#3  Vector DBMS
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitedrill.apache.orgwww.eventstore.comcloud.google.com/­datastorewww.pinecone.iogithub.com/­bytedance/­terarkdb
Technical documentationdrill.apache.org/­docsdevelopers.eventstore.comcloud.google.com/­datastore/­docsdocs.pinecone.io/­docs/­overviewbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperApache Software FoundationEvent Store LimitedGooglePinecone Systems, IncByteDance, originally Terark
Initial release20122012200820192016
Current release1.20.3, January 202321.2, February 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Sourcecommercialcommercialcommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++
Server operating systemsLinux
OS X
Windows
Linux
Windows
hostedhosted
Data schemeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes, details hereString, Number, Booleanno
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 indexesnoyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantSQL-like query language (GQL)nono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
RESTful HTTP APIC++ API
Java API
Supported programming languagesC++.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
PythonC++
Java
Server-side scripts infoStored proceduresuser defined functionsusing Google App Engineno
TriggersnoCallbacks using the Google Apps Engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using Paxosnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoSerializable Isolation within Transactions, Read Committed outside of Transactionsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 sourcenonoyes
User concepts infoAccess controlDepending on the underlying data sourceAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)no

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More resources
Apache DrillEventStoreDBGoogle Cloud DatastorePineconeTerarkDB
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