Best Data Management Software for Redis

Around 25 million engineers work across dozens of distinct functions. Engineers are using New Relic as every company is becoming a software company to gather real-time insight and trending data on the performance of their software. This allows them to be more resilient and provide exceptional customer experiences. New Relic is the only platform that offers an all-in one solution. New Relic offers customers a secure cloud for all metrics and events, powerful full-stack analytics tools, and simple, transparent pricing based on usage. New Relic also has curated the largest open source ecosystem in the industry, making it simple for engineers to get started using observability.

Access and access management today have become more complex and frustrating. strongDM redesigns access around the people who need it, making it incredibly simple and usable while ensuring total security and compliance. We call it People-First Access. End users enjoy fast, intuitive, and auditable access to the resources they need. Administrators gain precise controls, eliminating unauthorized and excessive access permissions. IT, Security, DevOps, and Compliance teams can easily answer who did what, where, and when with comprehensive audit logs. It seamlessly and securely integrates with every environment and protocol your team needs, with responsive 24/7 support.

ScaleGrid is a fully managed Database-as-a-Service (DBaaS) platform that helps you automate your time-consuming database administration tasks both in the cloud and on-premises. ScaleGrid makes it easy to provision, monitor, backup, and scale open-source databases. It offers advanced security, high availability, query analysis, and troubleshooting support to improve your deployments' performance. The following databases are supported: - MySQL - PostgreSQL - Redis™. - MongoDB®, database - Greenplum™ (coming soon) ScaleGrid supports both public and privately-owned clouds such as AWS, Azure and Google Cloud Platform (GCP), DigitalOcean and Linode, Oracle Cloud Infrastructure, (OCI), VMware, and OpenStack. ScaleGrid is used by thousands of developers, startups, as well as enterprise customers such as Accenture, Meteor and Atlassian. It handles all your database operations at any scale, so you can concentrate on your application performance.

You can easily assess the effort required to scale your database infrastructure. SolarWinds®, Database Performance Monitor (DPM), is a SaaS-based platform which helps improve system performance, team efficiency and infrastructure cost savings. It provides full visibility into all major open-source databases such as MySQL, PostgreSQL and MongoDB, Amazon Aurora and Redis. You can quickly search for new queries by comparing the performance of your code with system performance using before and after charts. Visualize query behavior and system metrics to identify performance issues and improve impact.

DataGrip is our new database IDE, designed to meet the needs of professional SQL developers. You can execute queries in multiple modes. It also provides a local history which keeps track of your activity and protects your work from being lost. You can jump to any table or view by the name of the action or directly from the SQL code. This tool gives you a detailed insight into the behavior of your queries and the database engine behavior so that you can optimize your queries. DataGrip allows you to write SQL code more quickly by providing context-sensitive code completion. Completion can detect the table structure, foreign keys and even database objects that were created in the code you are editing. DataGrip will detect potential bugs in your code and suggest the best ways to fix them. It will instantly notify you of unresolved objects using keywords as identifiers. It also offers solutions.

Retool is a platform that enables developers to combine the benefits of traditional software development with a drag-and-drop editor and AI to build internal tools faster. Every tool can be deployed anywhere, debugged with your toolchain, and shared reliably at any scale—ensuring good software by default. Retool is used by industry leaders such as Amazon, American Express, and OpenAI for mission critical custom software across operations, billing, and customer support.

Netreo is the best full-stack IT infrastructure management and observation platform. Netreo is a single source for truth for proactive performance monitoring and availability monitoring of large enterprise networks, infrastructure, and applications. Our solution is used by: IT executives should have full visibility of the business service, right down to the infrastructure and network that supports them. IT Engineering departments are used as a decision support system to plan and architect modern solutions. IT Operations teams can have real-time visibility into what is going wrong in their environment, which bottlenecks exist, and who it is affecting. All of these insights are available for systems and vendor mix in large heterogeneous environments that are constantly changing. We have a growing list of vendors that we support (over 350 integrations), including network vendors, storage, virtualization, and servers.

DbSchema allows you to visual design the schema in a group, deploy it and then document it. DbSchema also includes integrated features such as data explorer, visual query editor and data generator. This makes it an all-purpose tool for anyone who works with databases. DbSchema is compatible with all No-SQL and relational databases, including MySQL and PostgreSQL. It also supports SQLite, Microsoft SQL Server and MongoDB. MariaDB, Redshift. Snowflake. Google, and many others. DbSchema reverse-engineers the database schema and visualizes it as diagrams. Diagrams and visual tools will be used to interact with the database. DbSchema model uses its own copy of the schema structure, independent of the database. This allows you to deploy the schema on multiple databases. You can save the design model to file and store it in GIT. Then, design the schema with a team.

Gigasheet is the big data spreadsheet that requires no set up, training, database or coding skills. No SQL or Python code, no IT infrastructure required to explore big data. Big data answers are available to anyone, even if they're not data scientists. Best of all, your first 3GB are free! Gigasheet is used by thousands of people and teams to gain insights in minutes, rather than hours or days. Anyone who can use a spreadsheet can access Gigasheet's big data and analysis capabilities. Sharing and collaboration tools make distributing huge data sets a snap. Gigasheet integrates with more than 135 SaaS platforms and databases.

The easiest cloud platform for developers and teams. DigitalOcean makes it easy to deploy, manage, and scale cloud apps faster and more efficiently. DigitalOcean makes it easy to manage infrastructure for businesses and teams, no matter how many virtual machines you have. DigitalOcean App Platform: Create, deploy, scale and scale apps quickly with a fully managed solution. We will manage the infrastructure, dependencies, and app runtimes so you can quickly push code to production. You can quickly build, deploy, manage, scale, and scale apps using a simple, intuitive, visually rich experience. Apps are automatically secured We manage, renew, and create SSL certificates for you. We also protect your apps against DDoS attacks. We help you focus on the important things: creating amazing apps. We can manage infrastructure, databases, operating systems, applications, runtimes, and other dependencies.

StarfishETL is a Cloud iPaaS solution, which gives it the unique ability to connect virtually any kind of solution to any other kind of solution as long as both of those applications have an API. This gives StarfishETL customers ultimate control over their data projects, with the ability to build more unique and scalable data connections.

Rivery’s ETL platform consolidates, transforms, and manages all of a company’s internal and external data sources in the cloud. Key Features: Pre-built Data Models: Rivery comes with an extensive library of pre-built data models that enable data teams to instantly create powerful data pipelines. Fully managed: A no-code, auto-scalable, and hassle-free platform. Rivery takes care of the back end, allowing teams to spend time on mission-critical priorities rather than maintenance. Multiple Environments: Rivery enables teams to construct and clone custom environments for specific teams or projects. Reverse ETL: Allows companies to automatically send data from cloud warehouses to business applications, marketing clouds, CPD’s, and more.

Aiven manages your open-source data infrastructure in the cloud so that you don't have. Developers can do what is best for them: create applications. We do what we love: manage cloud data infrastructure. All solutions are open-source. You can also freely transfer data between clouds and create multi-cloud environments. You will know exactly what you will be paying and why. We combine storage, networking, and basic support costs. We will keep your Aiven software up and running. We will be there to help you if there is ever an issue. In 10 minutes, you can deploy a service on Aiven. 1. Register now - No credit card information required 2. Select your open-source service and choose the region and cloud to deploy to it 3. Select your plan and get $300 in credit 4. Click "Create service" to configure your data sources

InfluxDB is a purpose-built data platform designed to handle all time series data, from users, sensors, applications and infrastructure — seamlessly collecting, storing, visualizing, and turning insight into action. With a library of more than 250 open source Telegraf plugins, importing and monitoring data from any system is easy. InfluxDB empowers developers to build transformative IoT, monitoring and analytics services and applications. InfluxDB’s flexible architecture fits any implementation — whether in the cloud, at the edge or on-premises — and its versatility, accessibility and supporting tools (client libraries, APIs, etc.) make it easy for developers at any level to quickly build applications and services with time series data. Optimized for developer efficiency and productivity, the InfluxDB platform gives builders time to focus on the features and functionalities that give their internal projects value and their applications a competitive edge. To get started, InfluxData offers free training through InfluxDB University.

Telegraf is an open-source server agent that helps you collect metrics from your sensors, stacks, and systems. Telegraf is a plugin-driven agent that collects and sends metrics and events from systems, databases, and IoT sensors. Telegraf is written in Go. It compiles to a single binary and has no external dependencies. It also requires very little memory. Telegraf can gather metrics from a wide variety of inputs and then write them into a wide range of outputs. It can be easily extended by being plugin-driven for both the collection and output data. It is written in Go and can be run on any system without external dependencies. It is easy to collect metrics from your endpoints with the 300+ plugins that have been created by data experts in the community.

Datameer is your go-to data tool for exploring, preparing, visualizing, and cataloging Snowflake insights. From exploring raw datasets to driving business decisions – an all-in-one tool.

Modern native client with intuitive GUI tools to access, query, and edit multiple databases: MySQL. PostgreSQL. SQLite. Microsoft SQL Server. Amazon Redshift. MariaDB. CockroachDB. Vertica. Snowflake. Oracle. Redis.

Instaclustr, the Open Source-as a Service company, delivers reliability at scale. We provide database, search, messaging, and analytics in an automated, trusted, and proven managed environment. We help companies focus their internal development and operational resources on creating cutting-edge customer-facing applications. Instaclustr is a cloud provider that works with AWS, Heroku Azure, IBM Cloud Platform, Azure, IBM Cloud and Google Cloud Platform. The company is certified by SOC 2 and offers 24/7 customer support.

IBM® StreamSets allows users to create and maintain smart streaming data pipelines using an intuitive graphical user interface. This facilitates seamless data integration in hybrid and multicloud environments. IBM StreamSets is used by leading global companies to support millions data pipelines, for modern analytics and intelligent applications. Reduce data staleness, and enable real-time information at scale. Handle millions of records across thousands of pipelines in seconds. Drag-and-drop processors that automatically detect and adapt to data drift will protect your data pipelines against unexpected changes and shifts. Create streaming pipelines for ingesting structured, semistructured, or unstructured data to deliver it to multiple destinations.

Hackolade is the pioneer for data modeling of NoSQL and multi-model databases, providing a comprehensive suite of data modeling tools for various NoSQL databases and APIs. Hackolade is the only data modeling tool for MongoDB, Neo4j, Cassandra, ArangoDB, BigQuery, Couchbase, Cosmos DB, Databricks, DocumentDB, DynamoDB, Elasticsearch, EventBridge Schema Registry, Glue Data Catalog, HBase, Hive, Firebase/Firestore, JanusGraph, MariaDB, MarkLogic, MySQL, Oracle, PostgreSQL, Redshift, ScyllaDB, Snowflake, SQL Server, Synapse, TinkerPop, YugabyteDB, etc. It also applies its visual design to Avro, JSON Schema, Parquet, Protobuf, Swagger and OpenAPI, and is rapidly adding new targets for its physical data modeling engine. The software is user-friendly and simple to use yet provides powerful visuals and graphic data modeling to smooth the onboarding of NoSQL technology. Its software tools help functional analysts, designers, architects, and DBAs involved with NoSQL technology achieve greater transparency and control, resulting in reduced development time, increased application quality, and lower execution risks across the enterprise.

Data visibility and control for security, compliance, privacy, and governance. BigID's platform includes a foundational data discovery platform combining data classification and cataloging for finding personal, sensitive and high value data - plus a modular array of add on apps for solving discrete problems in privacy, security and governance. Automate scans, discovery, classification, workflows, and more on the data you need - and find all PI, PII, sensitive, and critical data across unstructured and structured data, on-prem and in the cloud. BigID uses advanced machine learning and data intelligence to help enterprises better manage and protect their customer & sensitive data, meet data privacy and protection regulations, and leverage unmatched coverage for all data across all data stores.

Cortex is an open-source project that adds horizontal scaling. Prometheus can scale upto 1 million samples/sec, but Cortex's horizontal scalability makes it practically inexhaustible. You need other methods to monitor individual servers or VMs in a dynamic environment. Prometheus' pull-based, service-discovery-driven metrics system was created for the dynamic nature microservices. It allows you to monitor your entire environment, regardless of how many moving parts. You can use the standard Prometheus client library to create custom metrics or you can take advantage of the many Prometheus exporters that collect data from applications such as MySQL, Redis Java, Java, ElasticSearch, and many others.

ArcadeDB allows you to manage complex models without any compromises. Polyglot Persistence is gone. There is no need to have multiple databases. ArcadeDB Multi-Model databases can store graphs and documents, key values, time series, and key values. Each model is native to the database engine so you don't need to worry about translations slowing down your computer. ArcadeDB's engine was developed with Alien Technology. It can crunch millions upon millions of records per second. ArcadeDB's traversing speed does not depend on the size of the database. It doesn't matter if your database contains a few records or a billion. ArcadeDB can be used as an embedded database on a single server. It can scale up by using Kubernetes to connect multiple servers. It is flexible enough to run on any platform that has a small footprint. Your data is protected. Our unbreakable fully transactional engine ensures durability for mission-critical production database databases. ArcadeDB uses the Raft Consensus Algorithm in order to maintain consistency across multiple servers.

In-memory database with ultra-fast performance, compatible with Redis and Valkey OSS. Scale up to hundreds of millions requests per second, and more than 100 terabytes per cluster. Data is stored with a multi-AZ log, ensuring 99.99% availability. Near-instantaneous data recovery without loss of data. Secure your data using encryption at rest and during transit, private VPC Endpoints, multiple authentication mechanisms including IAM authentication, and multiple authentication methods. Build applications quickly with Redis and Valkey OSS data structures, a rich API and a rich open-source API. Integrate easily with other AWS Services. Deliver personalized real-time experiences with the fastest and most relevant semantic search among popular vector databases in AWS. Valkey and Redis Open Source Software (OSS) provide flexible data structures to simplify application development and reduce time-to market.

Diffusion is the pioneer of real-time data streaming solutions and messaging. The company was founded to solve real-time system & application connectivity challenges and data distribution problems faced by companies around the world. It has an international team consisting of business and tech experts. The Diffusion dataplatform, the company's flagship product, makes it simple to consume, enrich and deliver data. Quickly capitalize on new or existing data sources. Diffusion is designed to simplify real-time, event-driven application development. It allows you to quickly add new capabilities at minimal development costs. Accepts any size, format or velocity of data. The flexible, hierarchical model organizes event-data incoming in a topic tree structure with multiple levels. Scalable to millions of topics. Low-code features in the platform facilitate transformation of event data. Enables subscription to event-data at a fine-grained level for hyper-personalization.