About
Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of modern cloud hardware can never be realized with legacy software. Dragonfly is optimized for modern cloud computing, delivering 25x more throughput and 12x lower snapshotting latency when compared to legacy in-memory data stores like Redis, making it easy to deliver the real-time experience your customers expect. Scaling Redis workloads is expensive due to their inefficient, single-threaded model. Dragonfly is far more compute and memory efficient, resulting in up to 80% lower infrastructure costs. Dragonfly scales vertically first, only requiring clustering at an extremely high scale. This results in a far simpler operational model and a more reliable system.
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About
Redis for Windows alternative, In-Memory Datastore Ready for the most demanding production workloads. Free for development and testing. Fully Redis-compatible. The core of Memurai is based on the Redis source code, ported to run natively on Windows. Memurai reliably supports all the features that make Redis the most popular NoSQL data store, including LRU eviction, persistence, replication, transactions, LUA scripting, high-availability, pub/sub, cluster, modules, and streams. A lot of attention has been put into ensuring full compatibility, including with the myriad of libraries and tools already available for Redis. You can even replicate data between Memurai and Redis, or use both within the same cluster! Seamless integration with Windows infrastructure and workflows. Whether it's used for development or production, Memurai seamlessly integrates with Windows best practices, tools and workflows. Engineering teams with an existing investments in the Windows infrastructure will be
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About
SQL Query Tuner helps database administrators to tune and profile SQL code for SQL Server. Unlike its competition, it provides automated SQL tuning and performance optimization suggestions with color-coded index analysis, database profiling of wait-time analysis for a single stored routine or an entire data source, SQL stress load testing to simulate a production environment with parallel users and executions over a specific period of time or execution cycle, and review of SQL execution and performance costs using explain plans.
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About
Enjoy the highest performance and unlimited possibilities when working with SQL Server. SQL Server Data Access Components (SDAC) is a library of components that provides native connectivity to SQL Server from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) for Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. SDAC-based applications connect to SQL Server directly through OLE DB, which is a native SQL Server interface. SDAC is designed to help programmers develop faster and cleaner SQL Server database applications. SDAC, a high-performance, and feature-rich SQL Server connectivity solution is a complete replacement for standard SQL Server connectivity solutions and presents an efficient native alternative to the Borland Database Engine (BDE) and standard dbExpress driver for access to SQL Server. SDAC-based DB applications are easy to deploy, and do not require the installation of other data provider layers.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Developers, cloud architects, and enterprises looking for a high-performance, cost-effective in-memory data store solution to handle large-scale, low-latency data workloads in cloud environments
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Audience
Users interested in a Redis compatible cache and data store for Windows
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Audience
database administrators for Microsoft SQL Server
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Audience
Programmers in need of a tool to develop faster and cleaner SQL Server database applications
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
No information available.
Free Version
Free Trial
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Pricing
$400 per instance
Free Version
Free Trial
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Pricing
$199.95 per year
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationDragonflyDB
Founded: 2022
Israel
www.dragonflydb.io
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Company InformationMemurai
Founded: 2013
United States
www.memurai.com
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Company InformationIDERA, an Idera, Inc. company
Founded: 2004
United States of America
www.idera.com/productssolutions/sqlserver/sql-query-tuner
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Company InformationDevart
Founded: 1997
Czech Republic
www.devart.com/sdac/
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
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Database Features
Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization
Database Monitoring Features
Anomaly Detection
Autodiscovery
Capacity Planning
Dashboard
Dependency Tracking
Historical Trend Analysis
Multitenancy
Notifications / Alerts
Performance Monitoring
Permissions / Access Controls
Predictive Analytics
Prioritization
Query Analysis
Resource Optimization
Troubleshooting
SQL Server Features
CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring
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Integrations
Amazon EC2
Amazon Web Services (AWS)
Azure SQL Database
Azure Virtual Machines
BullMQ
Collate
Delphi
Go
IBM InfoSphere Data Architect
JavaScript
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Integrations
Amazon EC2
Amazon Web Services (AWS)
Azure SQL Database
Azure Virtual Machines
BullMQ
Collate
Delphi
Go
IBM InfoSphere Data Architect
JavaScript
|
Integrations
Amazon EC2
Amazon Web Services (AWS)
Azure SQL Database
Azure Virtual Machines
BullMQ
Collate
Delphi
Go
IBM InfoSphere Data Architect
JavaScript
|
Integrations
Amazon EC2
Amazon Web Services (AWS)
Azure SQL Database
Azure Virtual Machines
BullMQ
Collate
Delphi
Go
IBM InfoSphere Data Architect
JavaScript
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