Question: I need a solution that streamlines data infrastructure management, including storage, processing, and serving data. Do you know of any options?

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Aiven

Aiven is a single, cloud-agnostic foundation for all your cloud data infrastructure needs. It offers a range of open-source services like Apache Kafka, PostgreSQL and OpenSearch, along with features like transparent pricing, rapid deployment and strong security. Aiven is good for businesses of all sizes, and it can help you consolidate data infrastructure onto a single system.

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Cloudera

Cloudera is another good option, offering a hybrid data platform that securely ingests, processes and analyzes data in the cloud and on-premises systems. It offers data services for ingest, prepare, analyze, predict and publish, and can be used for real-time insights and automated data pipelines. Cloudera is well suited for businesses that need to do massive-scale data analytics and AI model training.

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Databricks

If you're looking for a more specialized data intelligence platform, check out Databricks. It marries generative AI to data, analytics and governance so you can run AI applications directly on your own data. Databricks supports a broad range of tools and integrations, including ETL, business intelligence and AI, and is based on a lakehouse architecture for scalable and unified data management. It also offers a free trial so you can try it out.

Additional AI Projects

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Informatica

Accelerates AI-readiness by connecting, managing, and unifying data across multi-cloud and hybrid environments, making data more accessible and impactful.

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Teradata

Unifies and harmonizes all data across an organization, providing transparency and speed, and enabling faster innovation and collaboration.

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SingleStore

Combines transactional and analytical capabilities in a single engine, enabling millisecond query performance and real-time data processing for smart apps and AI workloads.

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Snowflake

Scalable data cloud for collaborative data management and application development, enabling companies to tap into flexible and reliable technology for large-scale data handling.

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Airbyte

Seamlessly integrate data from 300+ sources to destinations, with features like custom connector building, unstructured data extraction, and automated schema evolution.

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Qubinets

Automates setup and management of open-source data infrastructure, letting developers focus on code, not infrastructure, for faster project deployment.

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Collibra

Automate data discovery, governance, and quality control to increase productivity, reduce risk, and unlock business value from trusted data.

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Stitch

Extracts data from 140+ sources, loading it into a cloud data warehouse for analysis at scale, with no coding required, in minutes.

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Dataiku

Systemize data use for exceptional business results with a range of features supporting Generative AI, data preparation, machine learning, MLOps, collaboration, and governance.

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EDB Postgres AI

Unifies transactional, analytical, and AI workloads on a single platform, with native AI vector processing, analytics lakehouse, and unified observability.

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Qlik

Unifies data from hundreds of sources into a single fabric, enabling customers to integrate, transform, analyze, and take action on their data for better decisions.

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Fivetran

Automate data replication from 500+ sources, transforming it for analytics, and enable real-time insights with seamless data integration and replication.

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Oracle Health

Oracle's integrated cloud stack delivers consistent processes and data across the enterprise efficiently.

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MinIO

High-performance object storage for cloud-native workloads, scalable and compatible with Amazon S3.

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Altair RapidMiner

Provides a single, enterprise-scale data science platform for diverse users, offering code-free to code-friendly experiences, explainable models, and scalable deployment.

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DataStax

Rapidly build and deploy production-ready GenAI apps with 20% better relevance and 74x faster response times, plus enterprise-grade security and compliance.

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Deepnote

Combines Python, SQL, and no-code tools with AI-powered code completion to explore, analyze, and share data, boosting productivity and simplifying analysis.

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Peaka

Links multiple data sources, including databases and APIs, into a single queryable source, eliminating ETL processes and enabling real-time data access.

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Elastic

Combines search and AI to extract meaningful insights from data, accelerating time to insight and enabling tailored experiences.

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ThoughtSpot

Ask complex data questions in natural language and get instant AI-powered insights, empowering informed business decisions without requiring SQL or data expertise.

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dstack

Automates infrastructure provisioning for AI model development, training, and deployment across multiple cloud services and data centers, streamlining complex workflows.