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DBMS > EJDB vs. Manticore Search vs. Microsoft Azure Table Storage vs. QuestDB

System Properties Comparison EJDB vs. Manticore Search vs. Microsoft Azure Table Storage vs. QuestDB

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Editorial information provided by DB-Engines
NameEJDB  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonQuestDB  Xexclude from comparison
DescriptionEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Multi-storage database for search, including full-text search.A Wide Column Store for rapid development using massive semi-structured datasetsA high performance open source SQL database for time series data
Primary database modelDocument storeSearch engineWide column storeTime Series DBMS
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#297  Overall
#44  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score4.48
Rank#75  Overall
#6  Wide column stores
Score2.52
Rank#109  Overall
#9  Time Series DBMS
Websitegithub.com/­Softmotions/­ejdbmanticoresearch.comazure.microsoft.com/­en-us/­services/­storage/­tablesquestdb.io
Technical documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdmanual.manticoresearch.comquestdb.io/­docs
DeveloperSoftmotionsManticore SoftwareMicrosoftQuestDB Technology Inc
Initial release2012201720122014
Current release6.0, February 2023
License infoCommercial or Open SourceOpen Source infoGPLv2Open Source infoGPL version 2commercialOpen 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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Implementation languageCC++Java (Zero-GC), C++, Rust
Server operating systemsserver-lessFreeBSD
Linux
macOS
Windows
hostedLinux
macOS
Windows
Data schemeschema-freeFixed schemaschema-freeyes infoschema-free via InfluxDB Line Protocol
Typing infopredefined data types such as float or dateyes infostring, integer, double, bool, date, object_idInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.Can index from XMLnono
Secondary indexesnoyes infofull-text index on all search fieldsnono
SQL infoSupport of SQLnoSQL-like query languagenoSQL with time-series extensions
APIs and other access methodsin-process shared libraryBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIHTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
PostgreSQL wire protocol
Supported programming languagesActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
Server-side scripts infoStored proceduresnouser defined functionsnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud servicehorizontal partitioning (by timestamps)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSynchronous replication based on Galera libraryyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Source-replica replication with eventual consistency
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes infoisolated transactions for atomic changes and binary logging for safe writesoptimistic lockingACID for single-table writes
Concurrency infoSupport for concurrent manipulation of datayes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Manticore index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infothrough memory mapped files
User concepts infoAccess controlnonoAccess rights based on private key authentication or shared access signatures
More information provided by the system vendor
EJDBManticore SearchMicrosoft Azure Table StorageQuestDB
Specific characteristicsRelational model with native time series support Column-based storage and time partitioned...
» more
Competitive advantagesHigh ingestion throughput: peak of 4M rows/sec (TSBS Benchmark) Code optimizations...
» more
Typical application scenariosFinancial tick data Industrial IoT Application Metrics Monitoring
» more
Key customersBanks & Hedge funds, Yahoo, OKX, Airbus, Aquis Exchange, Net App, Cloudera, Airtel,...
» more
Licensing and pricing modelsOpen source Apache 2.0 QuestDB Enterprise QuestDB Cloud
» more
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More resources
EJDBManticore SearchMicrosoft Azure Table StorageQuestDB
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