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DataStax description
DataStax provides a specialized database designed for AI applications. It helps businesses build AI features by offering tools that manage the large datasets required for AI to function. Their platform excels at handling real-time data, making it suitable for applications like chatbots that need to respond instantly. DataStax focuses on providing a secure, reliable, and scalable solution for businesses to deploy AI applications across various industries.
Who is DataStax best for
DataStax offers a specialized database for AI applications, enabling real-time data management at scale. Users praise its performance and customer support but note the complexity and cost. Ideal for enterprises handling large datasets for AI-driven insights and real-time responses.
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Best fit for enterprise companies.
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Suitable for businesses integrating AI into applications and workflows.
DataStax features
| Supported DataStax offers linearly scalable architecture suitable for growth and new products. |
| Supported DataStax supports real-time data ingestion via Astra Streaming. |
| Supported DataStax offers real-time processing with Astra DB, Astra Streaming, and change data capture. |
| Supported DataStax excels in text search via Solr integration, supporting stemming, tokenizers, and query normalization. |
| Supported DataStax provides a framework via Data API and tools like LangChain and RAGStack. |
| Supported DataStax Astra DB supports vector similarity search for generative AI applications. |
We evaluate the sentiment that users express about non-functional aspects of the software
Value and Pricing Transparency
Customer Service
Ease of Use
Reliability and Performance
Ease of Implementation
Scalability
DataStax reviews
We've summarised 31 DataStax reviews (DataStax G2 reviews) and summarised the main points below.
- Excellent and responsive customer support praised by many users.
- Ease of implementation and integration with existing workflows.
- Robust performance and scalability, handling significant traffic increases with no downtime.
- Wide range of open-source options and integrations.
- Effective real-time data management capabilities, ideal for AI/ML applications.
- Difficult database migration between accounts and regions.
- Lack of comprehensive documentation, compensated by direct support.
- Cassandra's perceived complexity can be a deterrent.
- Limited advanced features for Astra service like monitoring, observability, and refined security controls.
- High cost compared to other solutions.
DataStax pricing
The commentary is based on 7 reviews from DataStax G2 reviews.
DataStax offers various deployment options, including pay-per-use and managed services, catering to different needs and budgets. While some users mention the cost-effectiveness of Astra DB and vector search, others point to potential cost concerns regarding enterprise support and cloud resources for self-managed clusters.
Users sentiment
See the DataStax pricing page.
DataStax alternatives
Amazon DynamoDBBetter for e-commerce and education applications. More popular and growing faster than DataStax, a strong DataStax competitor and alternative. Broader industry applicability but lacks specialized AI features. Simpler to use but can be more expensive.Read more
Microsoft SQL ServerBetter for relational data and business intelligence. Broader industry applicability. Has more momentum in terms of website traffic growth. More established and has a larger community.Read more
LabelboxBetter for data labeling and model training. Has significantly more momentum and a faster-growing user base. More user-friendly, but less reliable.Read more
Google Cloud BigQueryBetter for data warehousing and analytics. Handles massive datasets efficiently with fast query processing. Serverless architecture simplifies infrastructure management. More user-friendly interface for querying and data exploration. Extensive SQL support. Broader industry applicability.Read more
SnowflakeBetter for general data warehousing needs. Has broader industry applicability and faster employee growth, suggesting strong momentum. A DataStax alternative and competitor.Read more
LookerBetter for business intelligence and data analysis dashboards. More user-friendly for non-technical users. Stronger Google product integration. Primarily serves broader business intelligence needs rather than AI-specific database management.Read more
DataStax FAQ
What is DataStax and what does DataStax do?
DataStax offers a database built for AI, enabling businesses to develop AI-powered applications. It specializes in managing large datasets and real-time data processing, crucial for applications like chatbots. DataStax ensures a secure, reliable, and scalable solution for diverse AI deployments.
How does DataStax integrate with other tools?
DataStax integrates with popular tools for streamlined workflows. It offers integrations with Solr for enhanced search capabilities, and tools like LangChain and RAGStack for generative AI applications. Furthermore, DataStax supports real-time data ingestion through Astra Streaming.
What the main competitors of DataStax?
DataStax competes with several other database and AI platforms. Key competitors include Snowflake, Pinecone, and Microsoft SQL Server, each offering different strengths in data management, AI-specific features, and scalability for various business needs. Alternatives like RapidCanvas and Tableau provide data analysis and visualization capabilities.
Is DataStax legit?
Yes, DataStax is a legitimate and safe platform specializing in AI-powered database solutions. They are known for robust performance, scalability, and excellent customer support, making them a reliable choice for businesses implementing AI applications. However, potential users should be aware of the potential for high costs.
How much does DataStax cost?
DataStax doesn't publicly disclose pricing information. Contact their sales team to obtain a customized quote based on your specific product needs and data volume.
Is DataStax customer service good?
DataStax customer support receives positive feedback. Users highlight the responsiveness and helpfulness of the support team, particularly during implementation and troubleshooting. While documentation may be lacking in some areas, direct support compensates for this.
Reviewed by
Michal has worked at startups for many years and writes about topics relating to software selection and IT management. As a former consultant for Bain, a business advisory company, he also knows how to understand needs of any business and find solutions to its problems.
Tymon is a seasoned CTO who loves finding the perfect tools for any task. He recently headed up the tech department at Batmaid, a well-known Swiss company, where he managed about 60 software purchases, including CX, HR, Payroll, Marketing automation and various developer tools.