Oracle Big Data Service vs Parseable
Oracle Big Data Service
oracle.comParseable
parseable.comSide by side
| Figure | Oracle Big Data Service | Parseable |
|---|---|---|
| Price from | — | $0.39/mo |
| Free plan | — | Yes |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 1 | 3 |
| Spec score · Data Lake Software | 7.5 (#10) | 8.1 (#5) |
| Headquarters | Austin, Texas, USA | San Francisco, California, United States |
| Integrations | Oracle documents integrations with OCI Object Storage and Data Catalog; Cloud SQL also analyzes data across Hadoop, Kafka, NoSQL, and object stores. | The site lists integrations including Prometheus, Grafana, Kafka, Redpanda, AWS, Azure, OpenTelemetry, Kubernetes, Fluent Bit, Fluentd, Vector, MinIO, OpenAI, and Anthropic. |
| Security | Block Volume data used by Big Data Service is encrypted at rest by default, and OCI IAM controls authentication and authorization. | The site identifies Parseable as GDPR certified and SOC 2 Type II. |
Plans
In their own words
Oracle Big Data Service
Oracle Big Data Service is a managed cloud service for creating Hadoop-based data lakes that process large amounts of data. Its distribution includes Apache Hadoop, Ambari, HBase, Hive, Spark, and other services. Customers can build clusters with OCI compute shapes, from small development environments to large production clusters on dedicated hardware, and choose NVMe or block storage. Clusters can be resized; secure, high-availability clusters are an option. Oracle Cloud SQL queries data across Hadoop, Kafka, NoSQL, and object stores using Oracle SQL. The service also describes SparkR for working with HDFS, Spark DataFrames, and JDBC sources and building models in R. Access is available through the OCI Console, CLI, REST APIs, and SDKs. Block Volume data is encrypted at rest by default, and OCI IAM controls authentication and authorization. Oracle describes both short-lived clusters for specific tasks and long-running data lakes. The listed service fee is 0.02 USD per OCPU per hour; compute and storage charges apply separately. Oracle lists separate hourly rates for compute shapes and Cloud SQL. Clusters need release updates to remain current and supported.
Parseable
Parseable is an open observability platform for logs, metrics, and distributed traces. Its features include dashboards, alerts, service maps, error pages, and root-cause analysis. Users can query telemetry with SQL or natural language, and use forecasting and AI analysis. Written in Rust, it uses an open columnar format designed for object storage. Deployment choices include self-hosted open source, managed cloud, and enterprise deployments with bring-your-own-cloud options. Listed integrations include Prometheus, Grafana, Kafka, Redpanda, AWS, Azure, OpenTelemetry, Kubernetes, Fluent Bit, Fluentd, Vector, MinIO, OpenAI, and Anthropic. Its MCP connects AI agents to live telemetry through structured tools, and its Slack bot brings operational answers into Slack. The free OSS plan includes SQL queries, dashboards, threshold alerts, OIDC SSO, unlimited users, and customizable retention and object storage. OSS supports only one query node and lacks groups for RBAC. Cloud costs $0.39 per month, billed per GB ingested, and includes 365 days of retention and a 14-day trial. Enterprise starts at $15,000.00 per year.