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DBMS > Hazelcast vs. Microsoft Azure Synapse Analytics vs. Sqrrl vs. TigerGraph vs. YottaDB

System Properties Comparison Hazelcast vs. Microsoft Azure Synapse Analytics vs. Sqrrl vs. TigerGraph vs. YottaDB

Editorial information provided by DB-Engines
NameHazelcast  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSqrrl  Xexclude from comparisonTigerGraph  Xexclude from comparisonYottaDB  Xexclude from comparison
Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA widely adopted in-memory data gridElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerAdaptable, secure NoSQL built on Apache AccumuloA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeA fast and solid embedded Key-value store
Primary database modelKey-value storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMSKey-value store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.72
Rank#59  Overall
#6  Key-value stores
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score1.44
Rank#152  Overall
#14  Graph DBMS
Score0.21
Rank#309  Overall
#43  Key-value stores
Websitehazelcast.comazure.microsoft.com/­services/­synapse-analyticssqrrl.comwww.tigergraph.comyottadb.com
Technical documentationhazelcast.org/­imdg/­docsdocs.microsoft.com/­azure/­synapse-analyticsdocs.tigergraph.comyottadb.com/­resources/­documentation
DeveloperHazelcastMicrosoftAmazon infooriginally Sqrrl Data, Inc.YottaDB, LLC
Initial release20082016201220172001
Current release5.3.6, November 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercialcommercialcommercialOpen Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++JavaC++C
Server operating systemsAll OS with a Java VMhostedLinuxLinuxDocker
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.yes infothe object must implement a serialization strategynonono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL-like query languageyesnoSQL-like query language (GSQL)by using the Octo plugin
APIs and other access methodsJCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
Accumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
Thrift
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languages.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C#
Java
PHP
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
C++
Java
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor ServicesTransact SQLnoyes
Triggersyes infoEventsnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated Mapyesselectable replication factor infomaking use of Hadoopyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataone or two-phase-commit; repeatable reads; read commitedACIDAtomic updates per row, document, or graph entityACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlRole-based access controlyesCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)Role-based access controlUsers and groups based on OS-security mechanisms

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More resources
HazelcastMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSqrrlTigerGraphYottaDB
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